This commit is contained in:
tcmofashi
2026-04-03 23:18:30 +08:00
parent 185361f2c3
commit 7b9e1cf925
40 changed files with 52 additions and 86 deletions

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@@ -19,12 +19,10 @@ from agentlite import (
Message,
TextPart,
ToolCall,
ToolOk,
ToolError,
tool,
)
from agentlite.provider import ChatProvider, StreamedMessage, TokenUsage
from agentlite.tool import Tool, ToolResult
from agentlite.provider import StreamedMessage, TokenUsage
from agentlite.tool import Tool
# =============================================================================

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@@ -8,7 +8,7 @@ from __future__ import annotations
import pytest
from agentlite import Agent, TextPart
from agentlite import Agent
@pytest.mark.integration

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@@ -17,7 +17,7 @@ import pytest
# Add src to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
from agentlite import Agent, OpenAIProvider, LLMClient, llm_complete
from agentlite import Agent, OpenAIProvider, LLMClient
from agentlite.skills import discover_skills, SkillTool, index_skills_by_name
from agentlite.tools import ConfigurableToolset
@@ -74,7 +74,7 @@ async def test_agent_with_tools():
print("=" * 60)
try:
from agentlite.tools import ToolSuiteConfig, ReadFile, Glob
from agentlite.tools import ToolSuiteConfig
provider = get_provider()
@@ -173,7 +173,6 @@ async def test_subagents():
print("=" * 60)
try:
from agentlite.labor_market import LaborMarket
from agentlite.tools.multiagent.task import Task
provider = get_provider()
@@ -246,7 +245,7 @@ async def test_skills():
skill_tool = SkillTool(skill_index, parent_agent=agent)
agent.tools.add(skill_tool)
print(f"✅ Added SkillTool to agent")
print("✅ Added SkillTool to agent")
print("✅ Skills test PASSED")
return True

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@@ -5,7 +5,6 @@ from __future__ import annotations
import os
import sys
import asyncio
import signal
sys.path.insert(0, "/home/tcmofashi/proj/l2d_backend/agentlite/src")

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@@ -56,7 +56,7 @@ async def main():
start_time = time.time()
message = "Run 'echo test' and tell me the result."
logger.info(f"\n=== Starting Agent Run ===")
logger.info("\n=== Starting Agent Run ===")
logger.info(f"Message: {message}")
logger.info(f"Max iterations: {agent.max_iterations}")
logger.info(f"Tools: {[t.name for t in agent.tools.tools]}")
@@ -178,7 +178,7 @@ async def main():
output_preview = output[:100] if output else "None"
logger.info(f" Output preview: {output_preview}...")
except asyncio.TimeoutError:
logger.error(f" !!! Tool execution TIMEOUT")
logger.error(" !!! Tool execution TIMEOUT")
output = "Tool execution timed out"
is_error = True
except Exception as e:
@@ -209,7 +209,7 @@ async def main():
final_response = f"Max iterations ({agent.max_iterations}) reached"
logger.info(f"\n{'=' * 60}")
logger.info(f"FINAL RESULT:")
logger.info("FINAL RESULT:")
logger.info(f"{'=' * 60}")
logger.info(f"{final_response}")
logger.info(f"Total iterations: {iterations}")

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@@ -22,11 +22,6 @@ from agentlite import Agent, OpenAIProvider
from agentlite.tools import (
ConfigurableToolset,
ToolSuiteConfig,
Shell,
ReadFile,
WriteFile,
Glob,
Grep,
)
# =============================================================================

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@@ -17,7 +17,7 @@ from pathlib import Path
import pytest
from agentlite import Agent, TextPart, tool
from agentlite import Agent, tool
# =============================================================================

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@@ -16,7 +16,7 @@ from typing import Any
import pytest
import yaml
from agentlite import Agent, Message, TextPart, tool
from agentlite import Agent, tool
def tool_output(result: Any) -> Any:

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@@ -6,7 +6,6 @@ and all exception types.
from __future__ import annotations
import pytest
from agentlite.provider import (
TokenUsage,
@@ -106,7 +105,6 @@ class TestChatProviderProtocol:
def test_protocol_is_runtime_checkable(self):
"""Test that ChatProvider is runtime checkable."""
# ChatProvider should have @runtime_checkable
from typing import runtime_checkable
assert hasattr(ChatProvider, "__protocol_attrs__")

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@@ -195,7 +195,6 @@ class TestToolDecoratorMemorixBug:
This is an integration-style test to ensure the decorated tool
has all required attributes for Agent usage.
"""
from agentlite import Agent, OpenAIProvider
@tool()
async def add_memory(content: str, importance: float = 0.5) -> dict: