Files
chatgpt-on-wechat/agent/tools/memory/memory_get.py
HnBigVolibear 8ddfcbb125 feat(web): add custom provider support for embedding & vision models, and fix memory_get Windows path bug!
1. Embedding model: support custom provider
   - Add "custom" entry to EMBEDDING_VENDORS with supports_dim_param=False
   - Parse custom:<id> credentials and model fallback in agent_initializer
   - Expand custom_providers as custom:<id> entries in Web UI dropdown

2. Vision model: support custom provider
   - Add custom:<id> routing in _route_by_provider_id
   - Add _build_custom_provider reading credentials from custom_providers
   - Expand custom_providers in Web UI dropdown, add validation in _set_vision

3. Fix memory_get Windows path validation bug!
   - str.startswith(path+'/') always False on Windows due to backslashes, So All Users can not use "memory_get" tool in Windows.
   - Use os.path.realpath + os.sep, consistent with MemoryService

4. Fix historical needsModel:false bug preventing embedding provider switch
   - Change embedding needsModel to true in console.js
   - Support custom:<id> resolution in cow_cli /memory status, also for adding custom provider support

Closes #2908, Closes #2880
2026-06-19 18:35:44 +08:00

136 lines
4.7 KiB
Python

"""
Memory get tool
Allows agents to read specific sections from memory files
"""
import os
from agent.tools.base_tool import BaseTool
class MemoryGetTool(BaseTool):
"""Tool for reading memory file contents"""
name: str = "memory_get"
description: str = (
"Read specific content from memory files. "
"Use this to get full context from a memory file or specific line range."
)
params: dict = {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Relative path to the memory file (e.g. 'MEMORY.md', 'memory/2026-01-01.md')"
},
"start_line": {
"type": "integer",
"description": "Starting line number (optional, default: 1)",
"default": 1
},
"num_lines": {
"type": "integer",
"description": "Number of lines to read (optional, reads all if not specified)"
}
},
"required": ["path"]
}
def __init__(self, memory_manager):
"""
Initialize memory get tool
Args:
memory_manager: MemoryManager instance
"""
super().__init__()
self.memory_manager = memory_manager
from config import conf
if conf().get("knowledge", True):
self.description = (
"Read specific content from memory or knowledge files. "
"Use this to get full context from a memory file, knowledge page, or specific line range."
)
self.params = {**self.params}
self.params["properties"] = {**self.params["properties"]}
self.params["properties"]["path"] = {
"type": "string",
"description": "Relative path to the memory or knowledge file (e.g. 'MEMORY.md', 'memory/2026-01-01.md', 'knowledge/concepts/moe.md')"
}
def execute(self, args: dict):
"""
Execute memory file read
Args:
args: Dictionary with path, start_line, num_lines
Returns:
ToolResult with file content
"""
from agent.tools.base_tool import ToolResult
path = args.get("path")
start_line = args.get("start_line", 1)
num_lines = args.get("num_lines")
if not path:
return ToolResult.fail("Error: path parameter is required")
try:
workspace_dir = self.memory_manager.config.get_workspace()
# Auto-prepend memory/ if not present and not absolute path
# Exceptions: MEMORY.md in root, knowledge/ files at workspace root
if not path.startswith('memory/') and not path.startswith('knowledge/') and not path.startswith('/') and path != 'MEMORY.md':
path = f'memory/{path}'
file_path = (workspace_dir / path).resolve()
workspace_resolved = workspace_dir.resolve()
# Use os.path.realpath + os.sep for cross-platform path validation.
# str(Path).startswith(str + '/') fails on Windows where Path uses
# backslashes — see MemoryService._resolve_path for the same pattern.
real_file = os.path.realpath(str(file_path))
real_workspace = os.path.realpath(str(workspace_resolved))
if real_file != real_workspace and not real_file.startswith(real_workspace + os.sep):
return ToolResult.fail(f"Error: Access denied: path outside workspace")
if not file_path.exists():
return ToolResult.fail(f"Error: File not found: {path}")
content = file_path.read_text(encoding='utf-8')
lines = content.split('\n')
# Handle line range
if start_line < 1:
start_line = 1
start_idx = start_line - 1
if num_lines:
end_idx = start_idx + num_lines
selected_lines = lines[start_idx:end_idx]
else:
selected_lines = lines[start_idx:]
result = '\n'.join(selected_lines)
# Add metadata
total_lines = len(lines)
shown_lines = len(selected_lines)
output = [
f"File: {path}",
f"Lines: {start_line}-{start_line + shown_lines - 1} (total: {total_lines})",
"",
result
]
return ToolResult.success('\n'.join(output))
except Exception as e:
return ToolResult.fail(f"Error reading memory file: {str(e)}")