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⬆️(back) update pydantic-ai

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Signed-off-by: Laurent Paoletti <lp@providenz.fr>
This commit is contained in:
Laurent Paoletti
2026-02-09 16:48:59 +01:00
parent af6facf4a3
commit 224e6f83fd
9 changed files with 574 additions and 188 deletions
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CHANGELOG.md
+5 -4
View File
@@ -15,6 +15,7 @@ and this project adheres to
### Changed
- ⚡️(front) optimize streaming markdown rendering performance
- ⬆️(back) update pydantic-ai
### Fixed
@@ -31,17 +32,17 @@ and this project adheres to
- 🧱(files) allow to use S3 storage without external access #849
- ✨(backend) add FindRagBackend #209
- ⬆️(back) update dependencies
- ✨(back) Use adaptive parsing for pdf documents
- ✨(back) use adaptive parsing for pdf documents
### Changed
- 💄(darkmode) change color feedback butto
- 💄(darkmode) change color feedback button
- 🏗️(back) migrate to uv
- ♻️(front) optimize syntax highlighting bundle size
### Fixed
- 🐛(back) Cast collection Ids to API expected types
- 🐛(back) cast collection Ids to API expected types
## [0.0.12] - 2026-01-27
@@ -59,7 +60,7 @@ and this project adheres to
### Changed
- 📦️(front) update react
- ✨(chat) Generate and edit conversation title
- ✨(chat) generate and edit conversation title
### Fixed
src/backend/chat/tests/conftest.py
+1 -1
View File
@@ -20,7 +20,7 @@ from chat.clients.pydantic_ai import AIAgentService
logger = logging.getLogger(__name__)
@pytest.fixture(name="today_promt_date")
@pytest.fixture(name="today_prompt_date")
def today_prompt_date_fixture():
"""Fixture to mock date the system prompt when useless to test it."""
_formatted_date = formats.date_format(timezone.now(), "l d/m/Y", use_l10n=False)
src/backend/chat/tests/views/chat/conversations/test_conversation.py
+163 -20
View File
@@ -190,6 +190,7 @@ def test_post_conversation_data_protocol(api_client, mock_openai_stream):
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Hello"],
@@ -198,15 +199,29 @@ def test_post_conversation_data_protocol(api_client, mock_openai_stream):
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
"provider_details": {"finish_reason": "stop"},
"parts": [
{
"content": "Hello there",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-1234567890",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -317,6 +332,7 @@ def test_post_conversation_data_protocol_triggers_keepalives(
"Answer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Hello"],
@@ -325,15 +341,29 @@ def test_post_conversation_data_protocol_triggers_keepalives(
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
"provider_details": {"finish_reason": "stop"},
"parts": [
{
"content": "Hello there",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-1234567890",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -438,6 +468,7 @@ def test_post_conversation_text_protocol(api_client, mock_openai_stream):
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Hello"],
@@ -446,15 +477,29 @@ def test_post_conversation_text_protocol(api_client, mock_openai_stream):
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
"provider_details": {"finish_reason": "stop"},
"parts": [
{
"content": "Hello there",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-1234567890",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -624,6 +669,7 @@ def test_post_conversation_with_image(api_client, mock_openai_stream_image):
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": [
@@ -644,15 +690,29 @@ def test_post_conversation_with_image(api_client, mock_openai_stream_image):
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [{"content": "I see a cat in the picture.", "id": None, "part_kind": "text"}],
"provider_details": {"finish_reason": "stop"},
"parts": [
{
"content": "I see a cat in the picture.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-1234567890",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -790,6 +850,7 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Weather in Paris?"],
@@ -798,23 +859,31 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "tool_call",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
"args": '{"location":"Paris", "unit":"celsius"}',
"id": None,
"part_kind": "tool-call",
"provider_details": None,
"provider_name": None,
"tool_call_id": "xLDcIljdsDrz0idal7tATWSMm2jhMj47",
"tool_name": "get_current_weather",
}
],
"provider_details": {"finish_reason": "tool_calls"},
"provider_details": {
"finish_reason": "tool_calls",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-tool-call",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -834,6 +903,7 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": {"location": "Paris", "temperature": 22, "unit": "celsius"},
@@ -845,17 +915,29 @@ def test_post_conversation_tool_call(api_client, mock_openai_stream_tool, settin
}
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{"content": "The current weather in Paris is nice", "id": None, "part_kind": "text"}
{
"content": "The current weather in Paris is nice",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {"finish_reason": "stop"},
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-final",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -992,6 +1074,7 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
"Today is Friday 25/07/2025.\n\nAnswer in french."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Weather in Paris?"],
@@ -1000,23 +1083,31 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "tool_call",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
"args": '{"location":"Paris", "unit":"celsius"}',
"id": None,
"part_kind": "tool-call",
"provider_details": None,
"provider_name": None,
"tool_call_id": "xLDcIljdsDrz0idal7tATWSMm2jhMj47",
"tool_name": "get_current_weather",
}
],
"provider_details": {"finish_reason": "tool_calls"},
"provider_details": {
"finish_reason": "tool_calls",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-tool-call",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -1036,6 +1127,7 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
"Today is Friday 25/07/2025.\n\nAnswer in french."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": "Unknown tool name: 'get_current_weather'. No tools available.",
@@ -1046,17 +1138,29 @@ def test_post_conversation_tool_call_fails(api_client, mock_openai_stream_tool,
}
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{"content": "I cannot give you an answer to that.", "id": None, "part_kind": "text"}
{
"content": "I cannot give you an answer to that.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {"finish_reason": "stop"},
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-final",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -1302,6 +1406,7 @@ def test_post_conversation_data_protocol_no_stream(
"You are an amazing assistant.\n\nToday is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Why the sky is blue?"],
@@ -1310,10 +1415,12 @@ def test_post_conversation_data_protocol_no_stream(
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"parts": [
{
@@ -1321,12 +1428,18 @@ def test_post_conversation_data_protocol_no_stream(
"Rayleigh scattering.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {"finish_reason": "stop"},
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-09-22T14:13:49Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-92c413bb5a45426299335d0621324654",
"timestamp": "2025-09-22T14:13:49Z",
"provider_url": "https://www.external-ai-service.com",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
"cache_read_tokens": 0,
@@ -1442,6 +1555,7 @@ async def test_post_conversation_async(api_client, mock_openai_stream, monkeypat
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Hello"],
@@ -1450,15 +1564,29 @@ async def test_post_conversation_async(api_client, mock_openai_stream, monkeypat
},
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
"provider_details": {"finish_reason": "stop"},
"parts": [
{
"content": "Hello there",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-1234567890",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -1582,6 +1710,7 @@ async def test_post_conversation_async_triggers_keepalive(
"Today is Friday 25/07/2025.\n\nAnswer in english."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Hello"],
@@ -1590,15 +1719,29 @@ async def test_post_conversation_async_triggers_keepalive(
},
],
"run_id": _run_id,
"timestamp": ANY,
},
{
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [{"content": "Hello there", "id": None, "part_kind": "text"}],
"provider_details": {"finish_reason": "stop"},
"parts": [
{
"content": "Hello there",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {
"finish_reason": "stop",
"timestamp": ANY,
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-1234567890",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": ANY,
"usage": {
"cache_audio_read_tokens": 0,
src/backend/chat/tests/views/chat/conversations/test_conversation_with_document_upload.py
+35 -7
View File
@@ -273,7 +273,7 @@ def test_post_conversation_with_document_upload(
api_client,
mock_document_api, # pylint: disable=unused-argument
sample_pdf_content,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
):
"""
@@ -409,7 +409,7 @@ def test_post_conversation_with_document_upload(
assert chat_conversation.pydantic_messages[0] == {
"instructions": "You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from "
"attached documents. Do NOT use it to summarize; for summaries, "
@@ -424,6 +424,7 @@ def test_post_conversation_with_document_upload(
"Do not request re-upload of documents; consider them already "
"available via the internal store.",
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["What does the document say?"],
@@ -432,10 +433,12 @@ def test_post_conversation_with_document_upload(
},
],
"run_id": _run_id,
"timestamp": timezone_now,
}
assert chat_conversation.pydantic_messages[1] == {
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
@@ -444,11 +447,14 @@ def test_post_conversation_with_document_upload(
"part_kind": "tool-call",
"tool_call_id": chat_conversation.pydantic_messages[1]["parts"][0]["tool_call_id"],
"tool_name": "document_search_rag",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": timezone_now,
"usage": {
"cache_audio_read_tokens": 0,
@@ -465,7 +471,7 @@ def test_post_conversation_with_document_upload(
assert chat_conversation.pydantic_messages[2] == {
"instructions": (
"You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from "
"attached documents. Do NOT use it to summarize; for summaries, "
@@ -481,6 +487,7 @@ def test_post_conversation_with_document_upload(
"available via the internal store."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": [
@@ -498,21 +505,26 @@ def test_post_conversation_with_document_upload(
}
],
"run_id": _run_id,
"timestamp": timezone_now,
}
assert chat_conversation.pydantic_messages[3] == {
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
"content": "From the document, I can see that it says 'Hello PDF'.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": timezone_now,
"usage": {
"cache_audio_read_tokens": 0,
@@ -602,7 +614,7 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
api_client,
mock_document_api, # pylint: disable=unused-argument
sample_pdf_content,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
mock_summarization_agent, # pylint: disable=unused-argument
):
@@ -739,7 +751,7 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
assert chat_conversation.pydantic_messages[0] == {
"instructions": (
"You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from "
"attached documents. Do NOT use it to summarize; for summaries, "
@@ -755,6 +767,7 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
"available via the internal store."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Make a summary of this document."],
@@ -763,10 +776,12 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
},
],
"run_id": _run_id,
"timestamp": timezone_now,
}
assert chat_conversation.pydantic_messages[1] == {
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
@@ -775,11 +790,14 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
"part_kind": "tool-call",
"tool_call_id": chat_conversation.pydantic_messages[1]["parts"][0]["tool_call_id"],
"tool_name": "summarize",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": timezone_now,
"usage": {
"cache_audio_read_tokens": 0,
@@ -796,7 +814,7 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
assert chat_conversation.pydantic_messages[2] == {
"instructions": (
"You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from "
"attached documents. Do NOT use it to summarize; for summaries, "
@@ -812,6 +830,7 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
"available via the internal store."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": "The document discusses various topics.",
@@ -823,17 +842,26 @@ def test_post_conversation_with_document_upload_summarize( # pylint: disable=to
}
],
"run_id": _run_id,
"timestamp": timezone_now,
}
assert chat_conversation.pydantic_messages[3] == {
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{"content": "The document discusses various topics.", "id": None, "part_kind": "text"}
{
"content": "The document discusses various topics.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": timezone_now,
"usage": {
"cache_audio_read_tokens": 0,
src/backend/chat/tests/views/chat/conversations/test_conversation_with_document_url.py
+35 -10
View File
@@ -73,12 +73,13 @@ def test_post_conversation_with_local_pdf_document_url(
# pylint: disable=too-many-arguments,too-many-positional-arguments
api_client,
sample_document_content,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
):
"""
Test POST to /api/v1/chats/{pk}/conversation/ with a document URL.
"""
responses.post(
"https://albert.api.etalab.gouv.fr/v1/collections",
json={"id": 123, "object": "collection"},
@@ -140,7 +141,7 @@ def test_post_conversation_with_local_pdf_document_url(
],
instructions=(
"You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from attached "
"documents. Do NOT use it to summarize; for summaries, call the summarize "
@@ -156,6 +157,7 @@ def test_post_conversation_with_local_pdf_document_url(
"via the internal store."
),
run_id=messages[0].run_id,
timestamp=timezone.now(),
)
]
yield "This is a document about a single pixel."
@@ -229,7 +231,7 @@ def test_post_conversation_with_local_pdf_document_url(
assert chat_conversation.pydantic_messages == [
{
"instructions": "You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n"
"\n"
"Use document_search_rag ONLY to retrieve specific passages "
@@ -249,6 +251,7 @@ def test_post_conversation_with_local_pdf_document_url(
"conversation. Do not request re-upload of documents; "
"consider them already available via the internal store.",
"kind": "request",
"metadata": None,
"parts": [
{
"content": [
@@ -259,21 +262,26 @@ def test_post_conversation_with_local_pdf_document_url(
},
],
"run_id": _run_id,
"timestamp": timestamp,
},
{
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
"content": "This is a document about a single pixel.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": timestamp,
"usage": {
"cache_audio_read_tokens": 0,
@@ -545,6 +553,7 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
assert presigned_url.find("X-Amz-Signature=") != -1
assert presigned_url.find("X-Amz-Date=") != -1
assert presigned_url.find("X-Amz-Expires=") != -1
timestamp_now = timezone.now()
assert messages == [
ModelRequest(
@@ -558,7 +567,7 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
identifier="sample.pdf",
),
],
timestamp=timezone.now(),
timestamp=timestamp_now,
),
],
instructions="You are a helpful test assistant :)\n\n"
@@ -570,7 +579,7 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
parts=[TextPart(content="This is a document about a single pixel.")],
usage=RequestUsage(input_tokens=50, output_tokens=9),
model_name="function::agent_model",
timestamp=timezone.now(),
timestamp=timestamp_now,
run_id=messages[1].run_id,
),
ModelRequest(
@@ -579,9 +588,10 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
content=[
"Give more details about this document.",
],
timestamp=timezone.now(),
timestamp=timestamp_now,
)
],
timestamp=timestamp_now,
instructions="You are a helpful test assistant :)\n\n"
"Today is Saturday 18/10/2025.\n\n"
"Answer in english.",
@@ -738,6 +748,7 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
"instructions": "You are a helpful test assistant :)\n\n"
"Today is Saturday 18/10/2025.\n\n"
"Answer in english.",
"metadata": None,
"kind": "request",
"parts": [
{
@@ -747,21 +758,26 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
}
],
"run_id": _run_id,
"timestamp": "2025-10-18T20:48:20.286204Z",
},
{
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
"content": "This is a document of square, very small and nice.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": "2025-10-18T20:48:20.286204Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -791,7 +807,7 @@ def test_post_conversation_with_local_document_url_in_history( # pylint: disabl
def test_post_conversation_with_local_not_pdf_document_url(
# pylint: disable=too-many-arguments,too-many-positional-arguments
api_client,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
file_name,
content_type,
@@ -853,6 +869,8 @@ def test_post_conversation_with_local_not_pdf_document_url(
)
async def agent_model(messages: list[ModelMessage], _info: AgentInfo):
timestamp_now = timezone.now()
assert messages == [
ModelRequest(
parts=[
@@ -861,12 +879,13 @@ def test_post_conversation_with_local_not_pdf_document_url(
"What is in this document?",
# No presigned URL for non-PDF documents (not supporter by LLM)
],
timestamp=timezone.now(),
timestamp=timestamp_now,
),
],
timestamp=timestamp_now,
instructions=(
"You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from "
"attached documents. Do NOT use it to summarize; for summaries, "
@@ -957,7 +976,7 @@ def test_post_conversation_with_local_not_pdf_document_url(
{
"instructions": (
"You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\n"
f"{today_prompt_date}\n\n"
"Answer in english.\n\n"
"Use document_search_rag ONLY to retrieve specific passages from "
"attached documents. Do NOT use it to summarize; for summaries, "
@@ -974,6 +993,7 @@ def test_post_conversation_with_local_not_pdf_document_url(
"consider them already available via the internal store."
),
"kind": "request",
"metadata": None,
"parts": [
{
"content": [
@@ -984,21 +1004,26 @@ def test_post_conversation_with_local_not_pdf_document_url(
},
],
"run_id": _run_id,
"timestamp": timestamp,
},
{
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
"content": "This is a document about you.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": timestamp,
"usage": {
"cache_audio_read_tokens": 0,
src/backend/chat/tests/views/chat/conversations/test_conversation_with_history.py
+223 -90
View File
@@ -29,6 +29,10 @@ from chat.tests.utils import replace_uuids_with_placeholder
pytestmark = pytest.mark.django_db(transaction=True)
PYAI_CURRENT = "current"
PYAI_V1_17 = "v1.17"
@pytest.fixture(autouse=True)
def ai_settings(settings):
"""Fixture to set AI service URLs for testing."""
@@ -41,17 +45,9 @@ def ai_settings(settings):
return settings
@pytest.fixture(name="history_conversation")
def history_conversation_fixture():
"""Create a conversation with existing message history."""
# Create a timestamp for the first message
history_timestamp = timezone.now().replace(year=2025, month=6, day=15, hour=10, minute=30)
# Create a conversation with pre-existing messages
conversation = ChatConversationFactory()
# Add previous user and assistant messages
conversation.messages = [
def build__history_conversation_ui_messages(history_timestamp):
"""Build ui messages list for fixtures."""
return [
UIMessage(
id="prev-user-msg-1",
createdAt=history_timestamp,
@@ -120,94 +116,205 @@ def history_conversation_fixture():
),
]
@pytest.fixture(name="history_conversation")
def history_conversation_fixture(request):
"""Create a conversation with existing message history according to pydantic ai version."""
# Create a timestamp for the first message
history_timestamp = timezone.now().replace(year=2025, month=6, day=15, hour=10, minute=30)
# Create a conversation with pre-existing messages
conversation = ChatConversationFactory()
pyai_version = getattr(request, "param", PYAI_CURRENT)
# Add previous user and assistant messages
if pyai_version == PYAI_V1_17:
conversation.pydantic_messages = [
{
"instructions": None,
"kind": "request",
"parts": [
{
"content": "You are a helpful test assistant :)",
"dynamic_ref": None,
"part_kind": "system-prompt",
"timestamp": "2025-06-15T10:30:00.000000Z",
},
{
"content": ["How does machine learning work?"],
"part_kind": "user-prompt",
"timestamp": "2025-06-15T10:30:00.000000Z",
},
],
},
{
"kind": "response",
"model_name": "test-model",
"parts": [
{
"content": (
"Machine learning is a branch of artificial intelligence that "
"focuses on building systems that learn from data."
),
"part_kind": "text",
}
],
"timestamp": "2025-06-15T10:31:00.000000Z",
"usage": {
"details": None,
"request_tokens": 10,
"requests": 1,
"response_tokens": 20,
"total_tokens": 30,
},
"vendor_details": None,
"vendor_id": None,
},
{
"instructions": None,
"kind": "request",
"parts": [
{
"content": ["What are neural networks?"],
"part_kind": "user-prompt",
"timestamp": "2025-06-15T10:32:00.000000Z",
},
],
},
{
"kind": "response",
"model_name": "test-model",
"parts": [
{
"content": (
"Neural networks are computing systems inspired by the "
"biological neural networks in animal brains."
),
"part_kind": "text",
}
],
"timestamp": "2025-06-15T10:33:00.000000Z",
"usage": {
"details": None,
"request_tokens": 5,
"requests": 1,
"response_tokens": 15,
"total_tokens": 20,
},
"vendor_details": None,
"vendor_id": None,
},
]
else:
conversation.pydantic_messages = [
{
"instructions": None,
"kind": "request",
"parts": [
{
"content": "You are a helpful test assistant :)",
"dynamic_ref": None,
"part_kind": "system-prompt",
"timestamp": "2025-06-15T10:30:00.000000Z",
},
{
"content": ["How does machine learning work?"],
"part_kind": "user-prompt",
"timestamp": "2025-06-15T10:30:00.000000Z",
},
],
},
{
"kind": "response",
"model_name": "test-model",
"parts": [
{
"content": (
"Machine learning is a branch of artificial intelligence that "
"focuses on building systems that learn from data."
),
"part_kind": "text",
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "some model",
}
],
"timestamp": "2025-06-15T10:31:00.000000Z",
"usage": {
"details": None,
"request_tokens": 10,
"requests": 1,
"response_tokens": 20,
"total_tokens": 30,
},
"provider_details": None,
"vendor_id": None,
},
{
"instructions": None,
"kind": "request",
"parts": [
{
"content": ["What are neural networks?"],
"part_kind": "user-prompt",
"timestamp": "2025-06-15T10:32:00.000000Z",
},
],
},
{
"kind": "response",
"metadata": None,
"model_name": "test-model",
"finish_reason": "stop",
"parts": [
{
"content": (
"Neural networks are computing systems inspired by the "
"biological neural networks in animal brains."
),
"part_kind": "text",
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "test-model",
"provider_url": "https://www.external-ai-service.com/",
}
],
"timestamp": "2025-06-15T10:33:00.000000Z",
"usage": {
"details": None,
"request_tokens": 5,
"requests": 1,
"response_tokens": 15,
"total_tokens": 20,
},
"provider_details": {
"timestamp": "2025-07-25T10:36:35.297675Z",
"finish_reason": "stop",
},
"provider_name": "test-model",
"provider_response_id": "xyz",
},
]
# Set up the OpenAI message format as well
conversation.pydantic_messages = [
{
"instructions": None,
"kind": "request",
"parts": [
{
"content": "You are a helpful test assistant :)",
"dynamic_ref": None,
"part_kind": "system-prompt",
"timestamp": "2025-06-15T10:30:00.000000Z",
},
{
"content": ["How does machine learning work?"],
"part_kind": "user-prompt",
"timestamp": "2025-06-15T10:30:00.000000Z",
},
],
},
{
"kind": "response",
"model_name": "test-model",
"parts": [
{
"content": (
"Machine learning is a branch of artificial intelligence that "
"focuses on building systems that learn from data."
),
"part_kind": "text",
}
],
"timestamp": "2025-06-15T10:31:00.000000Z",
"usage": {
"details": None,
"request_tokens": 10,
"requests": 1,
"response_tokens": 20,
"total_tokens": 30,
},
"vendor_details": None,
"vendor_id": None,
},
{
"instructions": None,
"kind": "request",
"parts": [
{
"content": ["What are neural networks?"],
"part_kind": "user-prompt",
"timestamp": "2025-06-15T10:32:00.000000Z",
},
],
},
{
"kind": "response",
"model_name": "test-model",
"parts": [
{
"content": (
"Neural networks are computing systems inspired by the "
"biological neural networks in animal brains."
),
"part_kind": "text",
}
],
"timestamp": "2025-06-15T10:33:00.000000Z",
"usage": {
"details": None,
"request_tokens": 5,
"requests": 1,
"response_tokens": 15,
"total_tokens": 20,
},
"vendor_details": None,
"vendor_id": None,
},
]
conversation.messages = build__history_conversation_ui_messages(history_timestamp)
conversation.save()
return conversation
@pytest.mark.parametrize("history_conversation", [PYAI_CURRENT, PYAI_V1_17], indirect=True)
@freeze_time("2025-07-25T10:36:35.297675Z")
@respx.mock
def test_post_conversation_data_protocol_with_history(
api_client, mock_openai_stream, history_conversation
):
"""Test posting messages to a conversation with history using the 'data' protocol."""
url = f"/api/v1.0/chats/{history_conversation.pk}/conversation/?protocol=data"
data = {
"messages": [
@@ -1028,6 +1135,7 @@ def history_conversation_with_tool_fixture():
},
{
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
@@ -1069,6 +1177,7 @@ def history_conversation_with_tool_fixture():
},
{
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
@@ -1102,6 +1211,7 @@ def history_conversation_with_tool_fixture():
},
{
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
@@ -1148,6 +1258,7 @@ def history_conversation_with_tool_fixture():
},
{
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
@@ -1384,6 +1495,7 @@ def test_post_conversation_with_existing_tool_history(
"Today is Friday 25/07/2025.\n\n"
"Answer in dutch.",
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["How about Paris weather?"],
@@ -1392,24 +1504,32 @@ def test_post_conversation_with_existing_tool_history(
}
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
}
assert history_conversation_with_tool.pydantic_messages[9] == {
"finish_reason": "tool_call",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{
"args": '{"location":"Paris", "unit":"celsius"}',
"id": None,
"part_kind": "tool-call",
"provider_details": None,
"provider_name": None,
"tool_call_id": "xLDcIljdsDrz0idal7tATWSMm2jhMj47",
"tool_name": "get_current_weather",
}
],
"provider_details": {"finish_reason": "tool_calls"},
"provider_details": {
"finish_reason": "tool_calls",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-tool-call",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -1429,6 +1549,7 @@ def test_post_conversation_with_existing_tool_history(
"Today is Friday 25/07/2025.\n\n"
"Answer in dutch.",
"kind": "request",
"metadata": None,
"parts": [
{
"content": {"location": "Paris", "temperature": 22, "unit": "celsius"},
@@ -1440,18 +1561,30 @@ def test_post_conversation_with_existing_tool_history(
}
],
"run_id": _run_id,
"timestamp": "2025-07-25T10:36:35.297675Z",
}
assert history_conversation_with_tool.pydantic_messages[11] == {
"finish_reason": "stop",
"kind": "response",
"metadata": None,
"model_name": "test-model",
"parts": [
{"content": "The current weather in Paris is nice", "id": None, "part_kind": "text"}
{
"content": "The current weather in Paris is nice",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": {"finish_reason": "stop"},
"provider_details": {
"finish_reason": "stop",
"timestamp": "2025-07-25T10:36:35.297675Z",
},
"provider_name": "openai",
"provider_response_id": "chatcmpl-final",
"provider_url": "https://www.external-ai-service.com/",
"timestamp": "2025-07-25T10:36:35.297675Z",
"usage": {
"cache_audio_read_tokens": 0,
src/backend/chat/tests/views/chat/conversations/test_conversation_with_image_url.py
+34 -11
View File
@@ -92,6 +92,7 @@ def test_post_conversation_with_local_image_url(
assert presigned_url.find("X-Amz-Date=") != -1
assert presigned_url.find("X-Amz-Expires=") != -1
formatted_date = formats.date_format(timezone.now(), "l d/m/Y", use_l10n=False)
assert messages == [
ModelRequest(
parts=[
@@ -110,6 +111,7 @@ def test_post_conversation_with_local_image_url(
instructions="You are a helpful test assistant :)\n\nToday is "
f"{formatted_date}.\n\nAnswer in english.",
run_id=messages[0].run_id,
timestamp=timezone.now(),
)
]
yield "This is an image of a single pixel."
@@ -181,6 +183,7 @@ def test_post_conversation_with_local_image_url(
"instructions": "You are a helpful test assistant :)\n\n"
"Today is Saturday 18/10/2025.\n\nAnswer in english.",
"kind": "request",
"metadata": None,
"parts": [
{
"content": [
@@ -199,17 +202,26 @@ def test_post_conversation_with_local_image_url(
},
],
"run_id": _run_id,
"timestamp": "2025-10-18T20:48:20.286204Z",
},
{
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{"content": "This is an image of a single pixel.", "id": None, "part_kind": "text"}
{
"content": "This is an image of a single pixel.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": "2025-10-18T20:48:20.286204Z",
"usage": {
"cache_audio_read_tokens": 0,
@@ -229,7 +241,7 @@ def test_post_conversation_with_local_image_url(
@freeze_time()
def test_post_conversation_with_local_image_wrong_url(
api_client,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
):
"""
@@ -275,7 +287,8 @@ def test_post_conversation_with_local_image_wrong_url(
timestamp=timezone.now(),
),
],
instructions=f"You are a helpful test assistant :)\n\n{today_promt_date}"
timestamp=timezone.now(),
instructions=f"You are a helpful test assistant :)\n\n{today_prompt_date}"
"\n\nAnswer in english.",
run_id=messages[0].run_id,
)
@@ -314,7 +327,7 @@ def test_post_conversation_with_local_image_wrong_url(
@freeze_time()
def test_post_conversation_with_remote_image_url(
api_client,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
):
"""
@@ -361,8 +374,9 @@ def test_post_conversation_with_remote_image_url(
),
],
instructions="You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\nAnswer in english.",
f"{today_prompt_date}\n\nAnswer in english.",
run_id=messages[0].run_id,
timestamp=timezone.now(),
)
]
yield "This is an image of a single pixel."
@@ -432,7 +446,7 @@ def test_post_conversation_with_remote_image_url(
@freeze_time("2025-10-18T20:48:20.286204Z")
def test_post_conversation_with_local_image_url_in_history(
api_client,
today_promt_date,
today_prompt_date,
mock_ai_agent_service,
):
"""
@@ -475,7 +489,7 @@ def test_post_conversation_with_local_image_url_in_history(
],
pydantic_messages=[
{
"instructions": f"You are a helpful test assistant :)\n\n{today_promt_date}"
"instructions": f"You are a helpful test assistant :)\n\n{today_prompt_date}"
"\n\nAnswer in english.",
"kind": "request",
"parts": [
@@ -547,6 +561,8 @@ def test_post_conversation_with_local_image_url_in_history(
assert presigned_url.find("X-Amz-Date=") != -1
assert presigned_url.find("X-Amz-Expires=") != -1
timestamp_now = timezone.now()
assert messages == [
ModelRequest(
parts=[
@@ -559,11 +575,11 @@ def test_post_conversation_with_local_image_url_in_history(
identifier="sample.png",
),
],
timestamp=timezone.now(),
timestamp=timestamp_now,
),
],
instructions="You are a helpful test assistant :)\n\n"
f"{today_promt_date}\n\nAnswer in english.",
f"{today_prompt_date}\n\nAnswer in english.",
),
ModelResponse(
parts=[TextPart(content="This is an image of a single pixel.")],
@@ -577,12 +593,13 @@ def test_post_conversation_with_local_image_url_in_history(
content=[
"Give more details about this image.",
],
timestamp=timezone.now(),
timestamp=timestamp_now,
)
],
run_id=messages[2].run_id,
instructions="You are a helpful test assistant :)\n\n"
"Today is Saturday 18/10/2025.\n\nAnswer in english.",
timestamp=timestamp_now,
),
]
yield "This is an image of square, very small and nice."
@@ -681,7 +698,7 @@ def test_post_conversation_with_local_image_url_in_history(
_run_id = chat_conversation.pydantic_messages[2]["run_id"]
assert chat_conversation.pydantic_messages == [
{
"instructions": f"You are a helpful test assistant :)\n\n{today_promt_date}"
"instructions": f"You are a helpful test assistant :)\n\n{today_prompt_date}"
"\n\nAnswer in english.",
"kind": "request",
"parts": [
@@ -728,6 +745,7 @@ def test_post_conversation_with_local_image_url_in_history(
"instructions": "You are a helpful test assistant :)\n\nToday is Saturday 18/10/2025."
"\n\nAnswer in english.",
"kind": "request",
"metadata": None,
"parts": [
{
"content": ["Give more details about this image."],
@@ -736,21 +754,26 @@ def test_post_conversation_with_local_image_url_in_history(
}
],
"run_id": _run_id,
"timestamp": "2025-10-18T20:48:20.286204Z",
},
{
"finish_reason": None,
"kind": "response",
"metadata": None,
"model_name": "function::agent_model",
"parts": [
{
"content": "This is an image of square, very small and nice.",
"id": None,
"part_kind": "text",
"provider_details": None,
"provider_name": None,
}
],
"provider_details": None,
"provider_name": None,
"provider_response_id": None,
"provider_url": None,
"timestamp": "2025-10-18T20:48:20.286204Z",
"usage": {
"cache_audio_read_tokens": 0,
src/backend/pyproject.toml
+8 -3
View File
@@ -56,7 +56,7 @@ dependencies = [
"nested-multipart-parser==1.6.0",
"posthog==7.0.0",
"pydantic==2.12.4",
"pydantic-ai-slim[openai,mistral,mcp,evals,logfire]==1.17.0",
"pydantic-ai-slim[openai,mistral,mcp,evals,logfire]==1.56.0",
"psycopg[binary]==3.2.12",
"PyJWT==2.10.1",
"python-magic==0.4.27",
@@ -108,6 +108,11 @@ zip-safe = true
[tool.distutils.bdist_wheel]
universal = true
[tool.uv]
override-dependencies = [
"cryptography>=46.0.5", # CVE-2026-26007
]
[tool.uv.build-backend]
module-root = ""
source-exclude = [
@@ -147,8 +152,8 @@ select = [
]
[tool.ruff.lint.isort]
section-order = ["future","standard-library","django","third-party","conversations","first-party","local-folder"]
sections = { conversations=["core"], django=["django"] }
section-order = ["future", "standard-library", "django", "third-party", "conversations", "first-party", "local-folder"]
sections = { conversations = ["core"], django = ["django"] }
extra-standard-library = ["tomllib"]
[tool.ruff.lint.per-file-ignores]
src/backend/uv.lock
Generated
+70 -42
View File
@@ -7,6 +7,9 @@ resolution-markers = [
"sys_platform != 'emscripten' and sys_platform != 'win32'",
]
[manifest]
overrides = [{ name = "cryptography", specifier = ">=46.0.5" }]
[[package]]
name = "amqp"
version = "5.3.1"
@@ -505,7 +508,7 @@ requires-dist = [
{ name = "posthog", specifier = "==7.0.0" },
{ name = "psycopg", extras = ["binary"], specifier = "==3.2.12" },
{ name = "pydantic", specifier = "==2.12.4" },
{ name = "pydantic-ai-slim", extras = ["openai", "mistral", "mcp", "evals", "logfire"], specifier = "==1.17.0" },
{ name = "pydantic-ai-slim", extras = ["openai", "mistral", "mcp", "evals", "logfire"], specifier = "==1.56.0" },
{ name = "pyfakefs", marker = "extra == 'dev'", specifier = "==5.10.2" },
{ name = "pyjwt", specifier = "==2.10.1" },
{ name = "pylint", marker = "extra == 'dev'", specifier = "==3.3.9" },
@@ -584,43 +587,41 @@ wheels = [
[[package]]
name = "cryptography"
version = "46.0.3"
version = "46.0.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
]
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