LCORE-390: field description for ConversationDetails model #536
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WalkthroughAdds descriptive metadata and examples to the ConversationDetails schema in OpenAPI docs and the corresponding Pydantic model; conversation_id remains required and is declared with Field(...). No runtime logic or control-flow changes. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
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Actionable comments posted: 2
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⚠️ Outside diff range comments (1)
docs/openapi.json (1)
1101-1191: Schema regression: conversation_id became optional with empty-string default.Defaulting to "" weakens the contract and can leak invalid IDs. Keep conversation_id required and mark it as UUID.
"ConversationDetails": { "properties": { "conversation_id": { "type": "string", - "title": "Conversation Id", - "description": "Conversation ID (UUID)", - "default": "", - "examples": [ + "title": "Conversation Id", + "description": "Conversation ID (UUID)", + "format": "uuid", + "examples": [ "c5260aec-4d82-4370-9fdf-05cf908b3f16" ] }, @@ - "type": "object", - "title": "ConversationDetails", + "type": "object", + "required": ["conversation_id"], + "title": "ConversationDetails",Optional follow-ups:
- Add format hints to timestamps and a non-negative constraint to counts (these will also be emitted automatically if the Pydantic model uses datetime and ge=0):
"created_at": { "anyOf": [ { "type": "string" }, { "type": "null" } ], + "format": "date-time", "title": "Created At", "description": "When the conversation was created", "examples": ["2024-01-01T01:00:00Z"] }, "last_message_at": { "anyOf": [ { "type": "string" }, { "type": "null" } ], + "format": "date-time", "title": "Last Message At", "description": "When the last message was sent", "examples": ["2024-01-01T01:00:00Z"] }, "message_count": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], + "minimum": 0, "title": "Message Count", "description": "Number of user messages in the conversation", "examples": [42] },
🧹 Nitpick comments (3)
docs/output.md (1)
612-617: Populate Type column and tighten wording for consistency.Specify concrete types and use “Identifier of …” phrasing.
-| conversation_id | string | Conversation ID (UUID) | -| created_at | | When the conversation was created | -| last_message_at | | When the last message was sent | -| message_count | | Number of user messages in the conversation | -| last_used_model | | Identification of the last model used for the conversation | -| last_used_provider | | Identification of the last provider used for the conversation | +| conversation_id | string (uuid) | Conversation ID (UUID) | +| created_at | string (date-time) | When the conversation was created | +| last_message_at | string (date-time) | When the last message was sent | +| message_count | integer | Number of user messages in the conversation | +| last_used_model | string | Identifier of the last model used for the conversation | +| last_used_provider | string | Identifier of the last provider used for the conversation |docs/openapi.md (1)
612-617: Mirror types/wording in the ConversationDetails table.Align with OpenAPI schema and use explicit types.
-| conversation_id | string | Conversation ID (UUID) | -| created_at | | When the conversation was created | -| last_message_at | | When the last message was sent | -| message_count | | Number of user messages in the conversation | -| last_used_model | | Identification of the last model used for the conversation | -| last_used_provider | | Identification of the last provider used for the conversation | +| conversation_id | string (uuid) | Conversation ID (UUID) | +| created_at | string (date-time) | When the conversation was created | +| last_message_at | string (date-time) | When the last message was sent | +| message_count | integer | Number of user messages in the conversation | +| last_used_model | string | Identifier of the last model used for the conversation | +| last_used_provider | string | Identifier of the last provider used for the conversation |src/models/responses.py (1)
509-519: Examples consistency: align provider/model examples across docs.Files mix “gpt-” and “gemini/” examples. Pick one convention to reduce cognitive load.
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Comment on lines
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| created_at: Optional[str] = Field( | ||
| None, | ||
| description="When the conversation was created", | ||
| examples=["2024-01-01T01:00:00Z"], | ||
| ) | ||
|
|
||
| last_message_at: Optional[str] = Field( | ||
| None, | ||
| description="When the last message was sent", | ||
| examples=["2024-01-01T01:00:00Z"], | ||
| ) | ||
|
|
||
| message_count: Optional[int] = Field( | ||
| None, | ||
| description="Number of user messages in the conversation", | ||
| examples=[42], | ||
| ) |
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🛠️ Refactor suggestion
Use precise types and basic validation for timestamps and counts.
This tightens schema and improves docs without changing behavior.
- created_at: Optional[str] = Field(
- None,
- description="When the conversation was created",
- examples=["2024-01-01T01:00:00Z"],
- )
+ created_at: Optional[datetime] = Field(
+ None,
+ description="When the conversation was created",
+ examples=["2024-01-01T01:00:00Z"],
+ )
@@
- last_message_at: Optional[str] = Field(
- None,
- description="When the last message was sent",
- examples=["2024-01-01T01:00:00Z"],
- )
+ last_message_at: Optional[datetime] = Field(
+ None,
+ description="When the last message was sent",
+ examples=["2024-01-01T01:00:00Z"],
+ )
@@
- message_count: Optional[int] = Field(
- None,
- description="Number of user messages in the conversation",
- examples=[42],
- )
+ message_count: Optional[int] = Field(
+ None,
+ ge=0,
+ description="Number of user messages in the conversation",
+ examples=[42],
+ )Add the import:
+from datetime import datetime🤖 Prompt for AI Agents
In src/models/responses.py around lines 491 to 507, tighten the schema by using
proper datetime types for timestamps and a non-negative constrained int for
message_count: change created_at and last_message_at from Optional[str] to
Optional[datetime] and change message_count to Optional[conint(ge=0)], keep the
Field descriptions and examples but ensure examples remain ISO8601 strings, and
add the imports "from datetime import datetime" and "from pydantic import
conint" at the top of the file.
tisnik
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Description
LCORE-390: field description for ConversationDetails model
Type of change
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