mirror of
https://github.com/GNS3/gns3-server.git
synced 2026-08-28 13:00:15 +03:00
- Improve POST /chat endpoint documentation with request/response examples
- Add session ID management flow explanation
- Enhance GET /sessions endpoint with query parameters and response example
- Update GET /sessions/{session_id}/history with detailed response structure
- Format parameters as tables for better readability
- Clarify session ID usage in streaming conversations
117 lines
5.5 KiB
Python
117 lines
5.5 KiB
Python
#
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# Copyright (C) 2025 GNS3 Technologies Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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"""
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Chat API schemas for GNS3 Copilot integration.
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"""
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from pydantic import BaseModel, Field
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from typing import Optional, List, Dict, Any, Literal
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class OpenAIToolCall(BaseModel):
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"""Tool call information (OpenAI compatible format)."""
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id: str = Field(..., description="Tool call ID")
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type: Literal["function"] = Field(default="function", description="Tool call type")
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function: Dict[str, Any] = Field(..., description="Function name and arguments")
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class ChatRequest(BaseModel):
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"""Chat request model."""
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message: str = Field(..., description="User message content")
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session_id: Optional[str] = Field(None, description="Session ID (auto-generated if not provided)")
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stream: bool = Field(default=True, description="Enable streaming response")
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temperature: Optional[float] = Field(
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None,
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description="LLM temperature parameter (NOTE: currently not used. "
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"Temperature is loaded from user's LLM config in database. "
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"Reserved for future runtime override support.)"
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)
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mode: Literal["text"] = Field(default="text", description="Interaction mode")
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class ChatResponse(BaseModel):
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"""Chat streaming response model."""
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type: Literal[
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"content", # AI text content
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"tool_call", # Tool call request
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"tool_start", # Tool execution started
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"tool_end", # Tool execution completed
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"error", # Error message
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"done", # Stream ended
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"heartbeat" # Keep-alive signal
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] = Field(..., description="Response message type")
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content: Optional[str] = Field(None, description="Text content (for type=content)")
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message_id: Optional[str] = Field(None, description="Message ID")
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tool_call: Optional[OpenAIToolCall] = Field(None, description="Tool call (for type=tool_call)")
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tool_name: Optional[str] = Field(None, description="Tool name (for type=tool_start/end)")
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tool_output: Optional[str] = Field(None, description="Tool output (for type=tool_end)")
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error: Optional[str] = Field(None, description="Error message (for type=error)")
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session_id: Optional[str] = Field(None, description="Session ID (for type=heartbeat/done)")
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class OpenAIMessage(BaseModel):
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"""Message model for conversation history."""
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id: str = Field(..., description="Message ID")
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role: Literal["user", "assistant", "system", "tool"] = Field(..., description="Message role")
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content: str = Field(..., description="Message content")
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name: Optional[str] = Field(None, description="Tool message name")
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tool_call_id: Optional[str] = Field(None, description="Associated tool call ID (for tool messages)")
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tool_calls: Optional[List[OpenAIToolCall]] = Field(None, description="Tool calls (for assistant messages)")
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metadata: Dict[str, Any] = Field(default_factory=dict, description="Message metadata (includes created_at)")
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class ConversationHistory(BaseModel):
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"""Conversation history model."""
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thread_id: str = Field(..., description="Thread/session ID")
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title: str = Field(..., description="Conversation title")
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messages: List[OpenAIMessage] = Field(default_factory=list, description="Conversation messages")
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created_at: Optional[str] = Field(None, description="Creation timestamp (ISO 8601)")
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updated_at: Optional[str] = Field(None, description="Last update timestamp (ISO 8601)")
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llm_calls: int = Field(default=0, description="Total LLM calls in this conversation")
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class ChatSession(BaseModel):
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"""Chat session model."""
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id: Optional[int] = Field(None, description="Database ID")
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thread_id: str = Field(..., description="Thread/session ID")
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user_id: str = Field(..., description="User ID")
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project_id: str = Field(..., description="Associated GNS3 project ID")
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title: str = Field(..., description="Session title")
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message_count: int = Field(default=0, description="Number of messages")
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llm_calls_count: int = Field(default=0, description="Number of LLM calls")
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input_tokens: int = Field(default=0, description="Input tokens used")
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output_tokens: int = Field(default=0, description="Output tokens generated")
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total_tokens: int = Field(default=0, description="Total tokens used")
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last_message_at: Optional[str] = Field(None, description="Last message timestamp (ISO 8601)")
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created_at: Optional[str] = Field(None, description="Creation timestamp (ISO 8601)")
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updated_at: Optional[str] = Field(None, description="Last update timestamp (ISO 8601)")
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metadata: Dict[str, Any] = Field(default_factory=dict, description="Session metadata")
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stats: Dict[str, Any] = Field(default_factory=dict, description="Session statistics")
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pinned: bool = Field(default=False, description="Whether the session is pinned to the top")
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class RenameSession(BaseModel):
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"""Rename session request model."""
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title: str = Field(..., description="New session title", min_length=1, max_length=255)
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