diff --git a/.github/workflows/check-code.yaml b/.github/workflows/check-code.yaml
index 9c57ea69..c8202fbd 100644
--- a/.github/workflows/check-code.yaml
+++ b/.github/workflows/check-code.yaml
@@ -7,7 +7,7 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ['3.10']
+ python-version: ['3.12']
runs-on: ubuntu-latest
steps:
- name: Checkout Code
@@ -28,7 +28,7 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ['3.10']
+ python-version: ['3.12']
steps:
- uses: actions/checkout@v5
- name: Set up Python ${{ matrix.python-version }}
@@ -47,7 +47,7 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ['3.10']
+ python-version: ['3.12']
steps:
- uses: actions/checkout@v5
- name: Set up Python ${{ matrix.python-version }}
@@ -66,7 +66,7 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ['3.10']
+ python-version: ['3.12']
steps:
- uses: actions/checkout@v5
- name: Set up Python ${{ matrix.python-version }}
diff --git a/.github/workflows/publish-pypi.yaml b/.github/workflows/publish-pypi.yaml
index 245d4381..0c608026 100644
--- a/.github/workflows/publish-pypi.yaml
+++ b/.github/workflows/publish-pypi.yaml
@@ -15,7 +15,7 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ['3.10']
+ python-version: ['3.12']
steps:
- name: Checkout code
uses: actions/checkout@v5
diff --git a/.github/workflows/publish-testpypi.yaml b/.github/workflows/publish-testpypi.yaml
index 1416985c..f0f3be50 100644
--- a/.github/workflows/publish-testpypi.yaml
+++ b/.github/workflows/publish-testpypi.yaml
@@ -15,7 +15,7 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ['3.10']
+ python-version: ['3.12']
steps:
- name: Checkout code
uses: actions/checkout@v5
diff --git a/CONFIGURATION.md b/CONFIGURATION.md
index f68c1d48..52bb39e0 100644
--- a/CONFIGURATION.md
+++ b/CONFIGURATION.md
@@ -130,7 +130,7 @@ Then, add one import at the top of your agent to trigger the patching:
```python
try:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
except ImportError:
pass
diff --git a/demo/filesystem/server.py b/demo/filesystem/server.py
index 422f0c61..284b9152 100644
--- a/demo/filesystem/server.py
+++ b/demo/filesystem/server.py
@@ -10,7 +10,7 @@
import json
import mimetypes
from pathlib import Path
-from typing import List, Optional, Dict, Any
+from typing import List, Optional, Dict, Any, TypedDict
from datetime import datetime
import glob
import fnmatch
@@ -26,7 +26,7 @@
def normalize_path(p: str) -> str:
"""Normalize a path to use forward slashes and resolve it."""
- return str(Path(p).resolve()).replace('\\', '/')
+ return str(Path(p).resolve()).replace("\\", "/")
def expand_home(p: str) -> str:
@@ -52,15 +52,15 @@ def validate_path(file_path: str) -> str:
# Check if path is within any allowed directory
for allowed_dir in allowed_directories:
- if resolved.startswith(allowed_dir + '/') or resolved == allowed_dir:
+ if resolved.startswith(allowed_dir + "/") or resolved == allowed_dir:
return resolved
raise ValueError(f"Access denied: {file_path} is outside allowed directories")
-def format_size(size_bytes: int) -> str:
+def format_size(size_bytes: float) -> str:
"""Format file size in human-readable format."""
- for unit in ['B', 'KB', 'MB', 'GB', 'TB']:
+ for unit in ["B", "KB", "MB", "GB", "TB"]:
if size_bytes < 1024.0:
return f"{size_bytes:.1f}{unit}"
size_bytes /= 1024.0
@@ -83,46 +83,46 @@ async def get_file_stats(file_path: str) -> Dict[str, Any]:
async def read_file_content(file_path: str) -> str:
"""Read file content as text."""
- with open(file_path, 'r', encoding='utf-8') as f:
+ with open(file_path, "r", encoding="utf-8") as f:
return f.read()
async def write_file_content(file_path: str, content: str) -> None:
"""Write content to file."""
# Ensure parent directory exists
- os.makedirs(os.path.dirname(file_path) or '.', exist_ok=True)
- with open(file_path, 'w', encoding='utf-8') as f:
+ os.makedirs(os.path.dirname(file_path) or ".", exist_ok=True)
+ with open(file_path, "w", encoding="utf-8") as f:
f.write(content)
async def tail_file(file_path: str, n: int) -> str:
"""Read last n lines of a file."""
- with open(file_path, 'r', encoding='utf-8') as f:
+ with open(file_path, "r", encoding="utf-8") as f:
lines = f.readlines()
- return ''.join(lines[-n:])
+ return "".join(lines[-n:])
async def head_file(file_path: str, n: int) -> str:
"""Read first n lines of a file."""
- with open(file_path, 'r', encoding='utf-8') as f:
+ with open(file_path, "r", encoding="utf-8") as f:
lines = []
for i, line in enumerate(f):
if i >= n:
break
lines.append(line)
- return ''.join(lines)
+ return "".join(lines)
async def apply_file_edits(file_path: str, edits: List[Dict[str, str]], dry_run: bool = False) -> str:
"""Apply edits to a file and return a diff-style result."""
- with open(file_path, 'r', encoding='utf-8') as f:
+ with open(file_path, "r", encoding="utf-8") as f:
content = f.read()
original_content = content
for edit in edits:
- old_text = edit['oldText']
- new_text = edit['newText']
+ old_text = edit["oldText"]
+ new_text = edit["newText"]
if old_text not in content:
raise ValueError(f"Text to replace not found: {old_text[:50]}...")
@@ -135,7 +135,7 @@ async def apply_file_edits(file_path: str, edits: List[Dict[str, str]], dry_run:
content = content.replace(old_text, new_text)
if not dry_run:
- with open(file_path, 'w', encoding='utf-8') as f:
+ with open(file_path, "w", encoding="utf-8") as f:
f.write(content)
# Generate diff
@@ -156,12 +156,10 @@ async def apply_file_edits(file_path: str, edits: List[Dict[str, str]], dry_run:
diff_lines.append(f"+ {new_line.rstrip()}")
status = "Dry run - no changes made" if dry_run else "Changes applied successfully"
- return f"{status}\n\n" + '\n'.join(diff_lines)
+ return f"{status}\n\n" + "\n".join(diff_lines)
-async def search_files_recursive(
- root_path: str, pattern: str, exclude_patterns: List[str] = None
-) -> List[str]:
+async def search_files_recursive(root_path: str, pattern: str, exclude_patterns: List[str] | None = None) -> List[str]:
"""Recursively search for files matching a pattern."""
if exclude_patterns is None:
exclude_patterns = []
@@ -169,7 +167,7 @@ async def search_files_recursive(
results = []
# Handle glob patterns
- if '**' in pattern:
+ if "**" in pattern:
# Use glob for recursive patterns
glob_pattern = os.path.join(root_path, pattern)
matches = glob.glob(glob_pattern, recursive=True)
@@ -247,17 +245,13 @@ async def read_media_file(path: str) -> Dict[str, str]:
mime_type = "application/octet-stream"
# Read file as binary and encode to base64
- with open(valid_path, 'rb') as f:
- data = base64.b64encode(f.read()).decode('utf-8')
+ with open(valid_path, "rb") as f:
+ data = base64.b64encode(f.read()).decode("utf-8")
return {
"mimeType": mime_type,
"data": data,
- "type": "image"
- if mime_type.startswith("image/")
- else "audio"
- if mime_type.startswith("audio/")
- else "blob",
+ "type": "image" if mime_type.startswith("image/") else "audio" if mime_type.startswith("audio/") else "blob",
}
@@ -369,13 +363,19 @@ async def list_directory_with_sizes(path: str, sortBy: str = "name") -> str:
path: Path to the directory to list
sortBy: Sort entries by 'name' or 'size' (default: 'name')
"""
- valid_path = validate_path(path)
- entries = os.listdir(valid_path)
+
+ class Entry(TypedDict):
+ name: str
+ is_dir: bool
+ size: int
+
+ valid_path: str = validate_path(path)
+ entries: list[str] = os.listdir(valid_path)
# Collect entry details
- detailed_entries = []
- for entry in entries:
- entry_path = os.path.join(valid_path, entry)
+ detailed_entries: list[Entry] = []
+ for path in entries:
+ entry_path = os.path.join(valid_path, path)
is_dir = os.path.isdir(entry_path)
try:
@@ -384,26 +384,27 @@ async def list_directory_with_sizes(path: str, sortBy: str = "name") -> str:
except Exception:
size = 0
- detailed_entries.append({'name': entry, 'is_dir': is_dir, 'size': size})
+ detailed_entries.append({"name": path, "is_dir": is_dir, "size": size})
# Sort entries
- if sortBy == 'size':
- detailed_entries.sort(key=lambda x: x['size'], reverse=True)
+ if sortBy == "size":
+ detailed_entries.sort(key=lambda x: x["size"], reverse=True)
else:
- detailed_entries.sort(key=lambda x: x['name'])
+ detailed_entries.sort(key=lambda x: x["name"])
# Format output
formatted = []
for entry in detailed_entries:
- prefix = "[DIR]" if entry['is_dir'] else "[FILE]"
- name = entry['name'].ljust(30)
- size_str = "" if entry['is_dir'] else format_size(entry['size']).rjust(10)
+ is_dir = entry["is_dir"]
+ prefix = "[DIR]" if is_dir else "[FILE]"
+ name = entry["name"].ljust(30)
+ size_str = "" if is_dir else format_size(entry["size"]).rjust(10)
formatted.append(f"{prefix} {name} {size_str}")
# Add summary
- total_files = sum(1 for e in detailed_entries if not e['is_dir'])
- total_dirs = sum(1 for e in detailed_entries if e['is_dir'])
- total_size = sum(e['size'] for e in detailed_entries if not e['is_dir'])
+ total_files = sum(1 for e in detailed_entries if not e["is_dir"])
+ total_dirs = sum(1 for e in detailed_entries if e["is_dir"])
+ total_size = sum(e["size"] for e in detailed_entries if not e["is_dir"])
formatted.append("")
formatted.append(f"Total: {total_files} files, {total_dirs} directories")
@@ -413,7 +414,7 @@ async def list_directory_with_sizes(path: str, sortBy: str = "name") -> str:
@mcp.tool()
-async def directory_tree(path: str, excludePatterns: List[str] = None) -> str:
+async def directory_tree(path: str, excludePatterns: List[str] | None = None) -> str:
"""
Get a recursive tree view of files and directories as a JSON structure.
Each entry includes 'name', 'type' (file/directory), and 'children' for directories.
@@ -452,10 +453,10 @@ def build_tree(current_path: str, root_path: str) -> List[Dict[str, Any]]:
continue
is_dir = os.path.isdir(entry_path)
- entry_data = {'name': entry, 'type': 'directory' if is_dir else 'file'}
+ entry_data: dict[str, str | list] = {"name": entry, "type": "directory" if is_dir else "file"}
if is_dir:
- entry_data['children'] = build_tree(entry_path, root_path)
+ entry_data["children"] = build_tree(entry_path, root_path)
result.append(entry_data)
@@ -489,7 +490,7 @@ async def move_file(source: str, destination: str) -> str:
@mcp.tool()
-async def search_files(path: str, pattern: str, excludePatterns: List[str] = None) -> str:
+async def search_files(path: str, pattern: str, excludePatterns: List[str] | None = None) -> str:
"""
Recursively search for files and directories matching a pattern.
The patterns should be glob-style patterns that match paths relative to the working directory.
@@ -549,23 +550,9 @@ async def list_allowed_directories() -> str:
def main():
"""Main entry point for the server."""
parser = argparse.ArgumentParser(description="Secure MCP Filesystem Server")
- parser.add_argument(
- "allowed_directories",
- nargs="+",
- help="Directories to allow access to"
- )
- parser.add_argument(
- "--port",
- type=int,
- default=8112,
- help="Port to run the SSE server on (default: 8112)"
- )
- parser.add_argument(
- "--transport",
- choices=["sse", "stdio"],
- default="sse",
- help="Transport capability to expose (default: sse)"
- )
+ parser.add_argument("allowed_directories", nargs="+", help="Directories to allow access to")
+ parser.add_argument("--port", type=int, default=8112, help="Port to run the SSE server on (default: 8112)")
+ parser.add_argument("--transport", choices=["sse", "stdio"], default="sse", help="Transport capability to expose (default: sse)")
args = parser.parse_args()
diff --git a/docs/LOW_CODE_TRACING.md b/docs/LOW_CODE_TRACING.md
index 5c6e90ee..5f3978bf 100644
--- a/docs/LOW_CODE_TRACING.md
+++ b/docs/LOW_CODE_TRACING.md
@@ -49,7 +49,7 @@ Add one import at the top of your agent:
```python
try:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
except ImportError:
pass
@@ -77,7 +77,7 @@ Use this when you are tracing **raw API calls** directly using the `openai` libr
```python
try:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
except ImportError:
pass
@@ -99,7 +99,7 @@ Use this when using **LiteLLM** to abstract across multiple providers. Kaizen tr
```python
try:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
except ImportError:
pass
@@ -128,7 +128,7 @@ Use this for **agentic workflows** built with HuggingFace's `smolagents`. Kaizen
```python
try:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
except ImportError:
pass
@@ -150,7 +150,7 @@ Use this for the **OpenAI Agents framework** (`agents`). Kaizen traces the high-
```python
try:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
except ImportError:
pass
diff --git a/examples/low_code/litellm_demo.py b/examples/low_code/litellm_demo.py
index b4a38687..59a04afb 100644
--- a/examples/low_code/litellm_demo.py
+++ b/examples/low_code/litellm_demo.py
@@ -1,26 +1,27 @@
import os
-import sys
if os.environ.get("KAIZEN_AUTO_ENABLED", "").lower() != "true":
print("WARNING: KAIZEN_AUTO_ENABLED is not true, tracing will not be enabled automatically.")
-import kaizen.auto
+import kaizen.auto # noqa: F401
from kaizen.config.llm import llm_settings
from litellm import completion
+
def main():
print(f"Sending request via LiteLLM (Model: {llm_settings.tips_model})...")
try:
response = completion(
- model = os.environ.get("KAIZEN_EXAMPLE_AGENT_MODEL") or llm_settings.tips_model,
+ model=os.environ.get("KAIZEN_EXAMPLE_AGENT_MODEL") or llm_settings.tips_model,
custom_llm_provider=llm_settings.custom_llm_provider,
messages=[{"role": "user", "content": "What is the capital of France?"}],
- max_tokens=10
+ max_tokens=10,
)
print(f"Response: {response.choices[0].message.content}")
except Exception as e:
print(f"Error calling LiteLLM: {e}")
+
if __name__ == "__main__":
main()
diff --git a/examples/low_code/local_mcp_server.py b/examples/low_code/local_mcp_server.py
index c66f9152..49443a94 100644
--- a/examples/low_code/local_mcp_server.py
+++ b/examples/low_code/local_mcp_server.py
@@ -3,16 +3,19 @@
# Initialize FastMCP server
mcp = FastMCP("LocalTools")
+
@mcp.tool()
def add(a: int, b: int) -> int:
"""Add two numbers."""
return a + b
+
@mcp.tool()
def multiply(a: int, b: int) -> int:
"""Multiply two numbers."""
return a * b
+
if __name__ == "__main__":
# fastmcp handles stdio/sse execution
mcp.run()
diff --git a/examples/low_code/manual_phoenix_demo.py b/examples/low_code/manual_phoenix_demo.py
index 1ed41fef..dabc3736 100644
--- a/examples/low_code/manual_phoenix_demo.py
+++ b/examples/low_code/manual_phoenix_demo.py
@@ -1,22 +1,22 @@
import os
-import sys
from dotenv import load_dotenv
+from phoenix.otel import register
+from openinference.instrumentation.openai import OpenAIInstrumentor
+from openai import OpenAI
# Load environment variables from .env if present
load_dotenv()
-load_dotenv("../../../.env") # Try loading from appworld root if running from repo
+load_dotenv("../../../.env") # Try loading from appworld root if running from repo
# EXPLICITLY NO KAIZEN IMPORT
# This demonstrates Brownfield support (Synced via kaizen sync phoenix)
-from phoenix.otel import register
-from openinference.instrumentation.openai import OpenAIInstrumentor
-from openai import OpenAI
# Define a tool manually to show tracing works with tools
def add(a: int, b: int) -> int:
return a + b
+
def main():
api_key = os.environ.get("OPENAI_API_KEY")
if not api_key:
@@ -27,46 +27,41 @@ def main():
project_name = os.environ.get("PHOENIX_PROJECT_NAME", "kaizen-manual-demo")
# Standardize on PHOENIX_URL (matching kaizen config)
endpoint = os.environ.get("PHOENIX_URL", "http://localhost:6006") + "/v1/traces"
-
+
print(f"Registering Phoenix Tracer (Project: {project_name})...")
tracer_provider = register(
project_name=project_name,
endpoint=endpoint,
)
OpenAIInstrumentor().instrument(tracer_provider=tracer_provider)
-
+
# 2. Run OpenAI with Tools
client = OpenAI()
-
+
# Manually check for Kaizen model config
model = os.environ.get("KAIZEN_EXAMPLE_AGENT_MODEL") or os.environ.get("KAIZEN_TIPS_MODEL", "gpt-4o-mini")
print(f"Running Manually Instrumented Agent (Model: {model})...")
-
- tools = [{
- "type": "function",
- "function": {
- "name": "add",
- "description": "Add two numbers",
- "parameters": {
- "type": "object",
- "properties": {
- "a": {"type": "integer"},
- "b": {"type": "integer"}
+
+ tools = [
+ {
+ "type": "function",
+ "function": {
+ "name": "add",
+ "description": "Add two numbers",
+ "parameters": {
+ "type": "object",
+ "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+ "required": ["a", "b"],
},
- "required": ["a", "b"]
- }
+ },
}
- }]
-
+ ]
+
print("Sending request manually instrumented...")
try:
messages = [{"role": "user", "content": "What is 100 + 200?"}]
- response = client.chat.completions.create(
- model=model,
- messages=messages,
- tools=tools
- )
-
+ response = client.chat.completions.create(model=model, messages=messages, tools=tools)
+
# Simulate tool execution handling (naive loop for demo)
msg = response.choices[0].message
if msg.tool_calls:
@@ -74,14 +69,16 @@ def main():
for tc in msg.tool_calls:
if tc.function.name == "add":
import json
+
args = json.loads(tc.function.arguments)
result = add(args["a"], args["b"])
print(f"Executed add({args['a']}, {args['b']}) -> {result}")
else:
print(f"Response: {msg.content}")
-
+
except Exception as e: # noqa: BLE001
print(f"Error: {e}")
+
if __name__ == "__main__":
main()
diff --git a/examples/low_code/openai_agents_demo.py b/examples/low_code/openai_agents_demo.py
index 692e3f26..2fd24b6b 100644
--- a/examples/low_code/openai_agents_demo.py
+++ b/examples/low_code/openai_agents_demo.py
@@ -1,12 +1,11 @@
import os
import asyncio
-import sys
# Ensure KAIZEN_AUTO_ENABLED is set
if os.environ.get("KAIZEN_AUTO_ENABLED", "").lower() != "true":
print("WARNING: KAIZEN_AUTO_ENABLED is not true")
-import kaizen.auto
+import kaizen.auto # noqa: F401
from kaizen.config.llm import llm_settings
from agents import Agent, Runner, function_tool, ModelSettings
@@ -15,48 +14,53 @@
# Import tool from our local MCP server definition
from local_mcp_server import add as mcp_add, multiply as mcp_multiply
+
@function_tool
async def add(a: int, b: int) -> int:
"""Add two numbers."""
- return mcp_add(a, b)
+ return mcp_add(a, b) # type: ignore[no-any-return,operator]
+
@function_tool
async def multiply(a: int, b: int) -> int:
"""Multiply two numbers."""
- return mcp_multiply(a, b)
+ return mcp_multiply(a, b) # type: ignore[no-any-return,operator]
+
async def main():
# Create agent with local tools
model_name = os.environ.get("KAIZEN_EXAMPLE_AGENT_MODEL") or llm_settings.tips_model
custom_provider = llm_settings.custom_llm_provider
-
+
# Use the Agent SDK's LitellmModel adapter
# Explicitly pass Azure configuration and preserve model case (Azure/gpt-4.1)
model = LitellmModel(
model=model_name,
)
-
+
print(f"Running OpenAI Agent (Model: {model_name})...")
-
+
# Pass custom_llm_provider via ModelSettings extra_args
# This flows into litellm.acompletion(**extra_kwargs)
settings = ModelSettings(extra_args={"custom_llm_provider": custom_provider})
-
+
agent = Agent(
name="MathAgent",
instructions="You are a helpful assistant that does math.",
model=model,
model_settings=settings,
- tools=[add, multiply]
+ tools=[add, multiply],
)
-
+
print("Running OpenAI Agent...")
try:
result = await Runner.run(agent, "What is (10 * 2) + 5?")
print(f"Result: {result.final_output}")
except Exception: # noqa: BLE001
import traceback
+
traceback.print_exc()
+
if __name__ == "__main__":
asyncio.run(main())
diff --git a/examples/low_code/simple_openai.py b/examples/low_code/simple_openai.py
index b8ae7cee..6a1453ed 100644
--- a/examples/low_code/simple_openai.py
+++ b/examples/low_code/simple_openai.py
@@ -1,32 +1,29 @@
import os
-import sys
# Ensure KAIZEN_AUTO_ENABLED is set for the import to work
if os.environ.get("KAIZEN_AUTO_ENABLED", "").lower() != "true":
print("WARNING: KAIZEN_AUTO_ENABLED is not true, tracing will not be enabled automatically.")
-import kaizen.auto
+import kaizen.auto # noqa: F401
from kaizen.config.llm import llm_settings
from openai import OpenAI
+
def main():
client = OpenAI()
model = os.environ.get("KAIZEN_EXAMPLE_AGENT_MODEL") or llm_settings.tips_model
-
+
print(f"Sending request to OpenAI (Model: {model})...")
try:
- response = client.chat.completions.create(
- model=model,
- messages=[{"role": "user", "content": "What is 2 + 2?"}],
- max_tokens=10
- )
+ response = client.chat.completions.create(model=model, messages=[{"role": "user", "content": "What is 2 + 2?"}], max_tokens=10)
print(f"Response: {response.choices[0].message.content}")
-
+
# Explicitly flush traces for short-lived scripts
kaizen.auto.flush_traces()
except Exception as e:
print(f"Error calling OpenAI: {e}")
+
if __name__ == "__main__":
main()
diff --git a/examples/low_code/smolagents_demo.py b/examples/low_code/smolagents_demo.py
index 4c7660f7..585aecc4 100644
--- a/examples/low_code/smolagents_demo.py
+++ b/examples/low_code/smolagents_demo.py
@@ -1,11 +1,10 @@
import os
-import sys
# Ensure KAIZEN_AUTO_ENABLED is set
if os.environ.get("KAIZEN_AUTO_ENABLED", "").lower() != "true":
print("WARNING: KAIZEN_AUTO_ENABLED is not true")
-import kaizen.auto
+import kaizen.auto # noqa: F401
from kaizen.config.llm import llm_settings
from smolagents import CodeAgent, LiteLLMModel, tool
@@ -13,6 +12,7 @@
# Import tool from our local MCP server definition (Simulating local usage)
from local_mcp_server import add as mcp_add, multiply as mcp_multiply
+
# Wrap in smolagents @tool
@tool
def add(a: int, b: int) -> int:
@@ -22,7 +22,8 @@ def add(a: int, b: int) -> int:
a: First number.
b: Second number.
"""
- return mcp_add(a, b)
+ return mcp_add(a, b) # type: ignore[no-any-return,operator]
+
@tool
def multiply(a: int, b: int) -> int:
@@ -32,26 +33,23 @@ def multiply(a: int, b: int) -> int:
a: First number.
b: Second number.
"""
- return mcp_multiply(a, b)
+ return mcp_multiply(a, b) # type: ignore[no-any-return,operator]
+
def main():
# Use LiteLLMModel to support generic providers
# Exact match of Kaizen's internal usage pattern:
model_id = os.environ.get("KAIZEN_EXAMPLE_AGENT_MODEL") or llm_settings.tips_model
custom_provider = llm_settings.custom_llm_provider
-
+
print(f"Running Smolagents CodeAgent (Model: {model_id}, Provider: {custom_provider})...")
-
+
# Pass configuration exactly as Kaizen does
- model = LiteLLMModel(
- model_id=model_id,
- custom_llm_provider=custom_provider
- )
-
-
+ model = LiteLLMModel(model_id=model_id, custom_llm_provider=custom_provider)
+
# Create agent with local tools
agent = CodeAgent(tools=[add, multiply], model=model, add_base_tools=False)
-
+
print("Running Smolagents CodeAgent...")
try:
# Ask it to do math using the tools
@@ -60,5 +58,6 @@ def main():
except Exception as e: # noqa: BLE001
print(f"Error running agent: {e}")
+
if __name__ == "__main__":
main()
diff --git a/extract_trajectories.py b/extract_trajectories.py
index 6770a362..ec711840 100755
--- a/extract_trajectories.py
+++ b/extract_trajectories.py
@@ -19,7 +19,7 @@
def fetch_spans(base_url: str, limit: int = 1000) -> list[dict]:
"""Fetch all spans from Phoenix, handling pagination."""
- spans = []
+ spans: list[dict[str, Any]] = []
cursor = None
while True:
@@ -150,10 +150,10 @@ def convert_anthropic_to_openai(content: Any, role: str) -> dict:
if text_parts:
msg["content"] = "\n\n".join(text_parts)
elif not tool_calls:
- msg["content"] = None
+ msg["content"] = None # type: ignore[assignment]
if tool_calls:
- msg["tool_calls"] = tool_calls
+ msg["tool_calls"] = tool_calls # type: ignore[assignment]
return msg
diff --git a/kaizen/auto/__init__.py b/kaizen/auto/__init__.py
index d309eec3..e42cfc88 100644
--- a/kaizen/auto/__init__.py
+++ b/kaizen/auto/__init__.py
@@ -8,7 +8,7 @@
export KAIZEN_AUTO_ENABLED=true
# Then in code, just import:
- import kaizen.auto
+ import kaizen.auto # noqa: F401
# All LLM calls are now traced!
diff --git a/kaizen/backend/base.py b/kaizen/backend/base.py
index 7cc8cce7..65a4f416 100644
--- a/kaizen/backend/base.py
+++ b/kaizen/backend/base.py
@@ -28,6 +28,10 @@ def create_namespace(self, namespace_id: str | None = None) -> Namespace:
def get_namespace_details(self, namespace_id: str) -> Namespace:
pass
+ @abstractmethod
+ def search_namespaces(self, limit: int = 10) -> list[Namespace]:
+ pass
+
@abstractmethod
def delete_namespace(self, namespace_id: str):
pass
@@ -41,6 +45,7 @@ def update_entities(
) -> list[EntityUpdate]:
pass
+ @abstractmethod
def search_entities(
self, namespace_id: str, query: str | None = None, filters: dict | None = None, limit: int = 10
) -> list[RecordedEntity]:
diff --git a/kaizen/backend/filesystem.py b/kaizen/backend/filesystem.py
index 31157b7b..2e36f629 100644
--- a/kaizen/backend/filesystem.py
+++ b/kaizen/backend/filesystem.py
@@ -5,8 +5,10 @@
from pathlib import Path
from threading import Lock
+from pydantic import Field
+
from kaizen.backend.base import BaseEntityBackend
-from kaizen.config.filesystem import filesystem_settings
+from kaizen.config.filesystem import FilesystemSettings, filesystem_settings
from kaizen.llm.conflict_resolution.conflict_resolution import resolve_conflicts
from kaizen.schema.conflict_resolution import EntityUpdate
from kaizen.schema.core import Entity, Namespace, RecordedEntity
@@ -20,13 +22,20 @@
logger = logging.getLogger("entities-db.filesystem")
+class FilesystemNamespace(Namespace):
+ """Extended Namespace with additional fields for filesystem storage."""
+
+ entities: list[dict] = Field(default_factory=list, description="List of entity dictionaries")
+ next_id: int = Field(default=1, description="Next available entity ID")
+
+
class FilesystemEntityBackend(BaseEntityBackend):
"""A filesystem-based backend that stores data in JSON files.
This backend uses simple text matching for search (no embeddings).
"""
- def __init__(self, config=None):
+ def __init__(self, config: FilesystemSettings | None = None):
self.config = config or filesystem_settings
self.data_dir = Path(self.config.data_dir)
self.data_dir.mkdir(parents=True, exist_ok=True)
@@ -36,19 +45,17 @@ def _namespace_file(self, namespace_id: str) -> Path:
"""Get the path to a namespace's JSON file."""
return self.data_dir / f"{namespace_id}.json"
- def _load_namespace_data(self, namespace_id: str) -> dict:
+ def _load_namespace_data(self, namespace_id: str) -> FilesystemNamespace:
"""Load namespace data from JSON file."""
file_path = self._namespace_file(namespace_id)
if not file_path.exists():
raise NamespaceNotFoundException(f"Namespace `{namespace_id}` not found")
- with open(file_path, "r") as f:
- return json.load(f)
+ return FilesystemNamespace.model_validate(json.loads(file_path.read_text()))
- def _save_namespace_data(self, namespace_id: str, data: dict):
+ def _save_namespace_data(self, namespace_id: str, data: FilesystemNamespace):
"""Save namespace data to JSON file."""
file_path = self._namespace_file(namespace_id)
- with open(file_path, "w") as f:
- json.dump(data, f, indent=2, default=str)
+ file_path.write_text(data.model_dump_json(indent=2))
def ready(self) -> bool:
"""Check if the backend is healthy."""
@@ -68,12 +75,13 @@ def create_namespace(self, namespace_id: str | None = None) -> Namespace:
raise NamespaceAlreadyExistsException(f'Namespace "{namespace_id}" already exists.')
now = datetime.datetime.now(datetime.UTC)
- data = {
- "id": namespace_id,
- "created_at": now.isoformat(),
- "entities": [],
- "next_id": 1,
- }
+ data = FilesystemNamespace(
+ id=namespace_id,
+ created_at=now,
+ entities=[],
+ next_id=1,
+ num_entities=0,
+ )
self._save_namespace_data(namespace_id, data)
return Namespace(id=namespace_id, created_at=now, num_entities=0)
@@ -83,9 +91,9 @@ def get_namespace_details(self, namespace_id: str) -> Namespace:
with self._lock:
data = self._load_namespace_data(namespace_id)
return Namespace(
- id=data["id"],
- created_at=datetime.datetime.fromisoformat(data["created_at"]),
- num_entities=len(data["entities"]),
+ id=data.id,
+ created_at=data.created_at,
+ num_entities=len(data.entities),
)
def search_namespaces(self, limit: int = 10) -> list[Namespace]:
@@ -94,8 +102,7 @@ def search_namespaces(self, limit: int = 10) -> list[Namespace]:
with self._lock:
for file_path in self.data_dir.glob("*.json"):
try:
- with open(file_path, "r") as f:
- data = json.load(f)
+ data = json.loads(file_path.read_text())
namespaces.append(
Namespace(
id=data["id"],
@@ -124,11 +131,15 @@ def update_entities(
enable_conflict_resolution: bool = True,
) -> list[EntityUpdate]:
"""Add/update entities in a namespace."""
+ if len(entities) == 0:
+ return []
+
entity_type = entities[0].type
if not all(entity.type == entity_type for entity in entities):
raise KaizenException("All entities must have the same type.")
now = datetime.datetime.now(datetime.UTC)
+ now_iso = now.isoformat()
# Create temporary entities with placeholder IDs
entities_with_temporary_ids = []
@@ -151,7 +162,9 @@ def update_entities(
# Find similar existing entities for conflict resolution
old_entities = []
for entity in entities:
- similar = self._search_entities_internal(data, query=entity.content, filters=None, limit=10)
+ # Convert content to string for search query
+ query_str = entity.content if isinstance(entity.content, str) else json.dumps(entity.content)
+ similar = self._search_entities_internal(data, query=query_str, filters=None, limit=10)
old_entities.extend(similar)
updates = resolve_conflicts(old_entities, entities_with_temporary_ids)
@@ -159,40 +172,40 @@ def update_entities(
for update in updates:
match update.event:
case "ADD":
- entity_id = str(data["next_id"])
- data["next_id"] += 1
- data["entities"].append(
+ entity_id = str(data.next_id)
+ data.next_id += 1
+ data.entities.append(
{
"id": entity_id,
"type": entity_type,
"content": update.content,
- "created_at": now.isoformat(),
+ "created_at": now_iso,
"metadata": update.metadata,
}
)
update.id = entity_id
case "UPDATE":
- for ent in data["entities"]:
+ for ent in data.entities:
if ent["id"] == update.id:
ent["content"] = update.content
- ent["created_at"] = now.isoformat()
+ ent["created_at"] = now_iso
ent["metadata"] = update.metadata
break
case "DELETE":
- data["entities"] = [e for e in data["entities"] if e["id"] != update.id]
+ data.entities = [e for e in data.entities if e["id"] != update.id]
case "NONE":
pass
else:
updates = []
for entity in entities:
- entity_id = str(data["next_id"])
- data["next_id"] += 1
- data["entities"].append(
+ entity_id = str(data.next_id)
+ data.next_id += 1
+ data.entities.append(
{
"id": entity_id,
"type": entity_type,
"content": entity.content,
- "created_at": now.isoformat(),
+ "created_at": now_iso,
"metadata": entity.metadata,
}
)
@@ -212,13 +225,13 @@ def update_entities(
def _search_entities_internal(
self,
- data: dict,
+ data: FilesystemNamespace,
query: str | None = None,
filters: dict | None = None,
limit: int = 10,
) -> list[RecordedEntity]:
"""Internal search method that works on loaded data."""
- entities = data["entities"]
+ entities = data.entities
filters = filters or {}
# Apply filters
@@ -260,7 +273,7 @@ def _search_entities_internal(
type=ent["type"],
content=ent["content"],
created_at=datetime.datetime.fromisoformat(ent["created_at"]),
- metadata=ent.get("metadata"),
+ metadata=ent.get("metadata") or {},
)
for ent in results
]
@@ -281,8 +294,8 @@ def delete_entity_by_id(self, namespace_id: str, entity_id: str):
"""Delete a specific entity by its ID."""
with self._lock:
data = self._load_namespace_data(namespace_id)
- original_count = len(data["entities"])
- data["entities"] = [e for e in data["entities"] if str(e["id"]) != entity_id]
- if len(data["entities"]) == original_count:
+ original_count = len(data.entities)
+ data.entities = [e for e in data.entities if str(e["id"]) != entity_id]
+ if len(data.entities) == original_count:
raise KaizenException(f"Entity `{entity_id}` not found")
self._save_namespace_data(namespace_id, data)
diff --git a/kaizen/backend/milvus.py b/kaizen/backend/milvus.py
index a902f9f8..46d8190f 100644
--- a/kaizen/backend/milvus.py
+++ b/kaizen/backend/milvus.py
@@ -72,6 +72,8 @@ def get_namespace_details(self, namespace_id: str) -> Namespace:
with SQLiteManager() as db_manager:
namespace = db_manager.get_namespace(namespace_id)
+ if namespace is None:
+ raise NamespaceNotFoundException(f"Namespace {namespace_id} not found")
namespace.num_entities = self.milvus.get_collection_stats(namespace_id)["row_count"]
return namespace
diff --git a/kaizen/cli/cli.py b/kaizen/cli/cli.py
index 91dad297..2dfc68f0 100644
--- a/kaizen/cli/cli.py
+++ b/kaizen/cli/cli.py
@@ -157,12 +157,14 @@ def list_entities(
for entity in entities:
content = entity.content
- if len(content) > 60:
- content = content[:57] + "..."
+ content_str = str(content)
+
+ if len(content_str) > 60:
+ content_str = content_str[:57] + "..."
table.add_row(
str(entity.id),
entity.type,
- content,
+ content_str,
entity.created_at.strftime("%Y-%m-%d %H:%M"),
)
@@ -284,12 +286,14 @@ def search_entities(
for entity in entities:
content = entity.content
- if len(content) > 60:
- content = content[:57] + "..."
+ content_str = str(content)
+
+ if len(content_str) > 60:
+ content_str = content_str[:57] + "..."
table.add_row(
str(entity.id),
entity.type,
- content,
+ content_str,
entity.created_at.strftime("%Y-%m-%d %H:%M"),
)
diff --git a/kaizen/config/filesystem.py b/kaizen/config/filesystem.py
index a99e8a3a..c3b904fd 100644
--- a/kaizen/config/filesystem.py
+++ b/kaizen/config/filesystem.py
@@ -3,8 +3,8 @@
class FilesystemSettings(BaseSettings):
- model_config = SettingsConfigDict(env_prefix='KAIZEN_')
- data_dir: str = Field(default='kaizen_data', description='Directory to store JSON data files')
+ model_config = SettingsConfigDict(env_prefix="KAIZEN_")
+ data_dir: str = Field(default="kaizen_data", description="Directory to store JSON data files")
filesystem_settings = FilesystemSettings()
diff --git a/kaizen/config/kaizen.py b/kaizen/config/kaizen.py
index 31e4ccc5..265a3054 100644
--- a/kaizen/config/kaizen.py
+++ b/kaizen/config/kaizen.py
@@ -1,11 +1,13 @@
from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import Literal
+
class KaizenConfig(BaseSettings):
- model_config = SettingsConfigDict(env_prefix='KAIZEN_')
- backend: Literal['milvus', 'filesystem'] = 'milvus'
- namespace_id: str = 'kaizen'
+ model_config = SettingsConfigDict(env_prefix="KAIZEN_")
+ backend: Literal["milvus", "filesystem"] = "milvus"
+ namespace_id: str = "kaizen"
settings: BaseSettings | None = None
+
# to reload settings call kaizen_config.__init__()
-kaizen_config = KaizenConfig()
\ No newline at end of file
+kaizen_config = KaizenConfig()
diff --git a/kaizen/config/milvus.py b/kaizen/config/milvus.py
index 1e03b087..b6d0c730 100644
--- a/kaizen/config/milvus.py
+++ b/kaizen/config/milvus.py
@@ -3,17 +3,18 @@
class MilvusDBSettings(BaseSettings):
- model_config = SettingsConfigDict(env_prefix='KAIZEN_')
- uri: str = Field(default='entities.milvus.db')
- user: str = Field(default='')
- password: str = Field(default='')
- db_name: str = Field(default='')
- token: str = Field(default='')
+ model_config = SettingsConfigDict(env_prefix="KAIZEN_")
+ uri: str = Field(default="entities.milvus.db")
+ user: str = Field(default="")
+ password: str = Field(default="")
+ db_name: str = Field(default="")
+ token: str = Field(default="")
timeout: float | None = Field(default=None)
+
class MilvusOtherSettings(BaseSettings):
- model_config = SettingsConfigDict(env_prefix='KAIZEN_')
- embedding_model: str = 'sentence-transformers/all-MiniLM-L6-v2'
+ model_config = SettingsConfigDict(env_prefix="KAIZEN_")
+ embedding_model: str = "sentence-transformers/all-MiniLM-L6-v2"
# to reload settings call milvus_client_settings.__init__()
diff --git a/kaizen/config/phoenix.py b/kaizen/config/phoenix.py
index a0564d5b..9fe78029 100644
--- a/kaizen/config/phoenix.py
+++ b/kaizen/config/phoenix.py
@@ -3,9 +3,9 @@
class PhoenixSettings(BaseSettings):
- model_config = SettingsConfigDict(env_prefix='PHOENIX_')
- url: str = Field(default='http://localhost:6006', description='Phoenix server URL')
- project: str = Field(default='default', description='Phoenix project name')
+ model_config = SettingsConfigDict(env_prefix="PHOENIX_")
+ url: str = Field(default="http://localhost:6006", description="Phoenix server URL")
+ project: str = Field(default="default", description="Phoenix project name")
phoenix_settings = PhoenixSettings()
diff --git a/kaizen/db/sqlite_manager.py b/kaizen/db/sqlite_manager.py
index 10344163..7fa5460a 100644
--- a/kaizen/db/sqlite_manager.py
+++ b/kaizen/db/sqlite_manager.py
@@ -18,15 +18,22 @@ def convert_timestamp(time: bytes) -> datetime.datetime:
"""Convert Unix epoch timestamp to datetime.datetime object."""
return datetime.datetime.fromtimestamp(int.from_bytes(time), datetime.UTC)
+
sqlite3.register_adapter(datetime.datetime, adapt_datetime_epoch)
sqlite3.register_converter("timestamp", convert_timestamp)
+
class SQLiteManager:
"""A database for any resources that can't be generalized across backends."""
- def __init__(self, db_path: str = 'entities.sqlite.db'):
+
+ def __init__(self, db_path: str = "entities.sqlite.db"):
self.db_path = db_path
+ self.connection: sqlite3.Connection | None = None
+ self._lock: threading.Lock | None = None
def _create_namespace_table(self):
+ assert self._lock is not None
+ assert self.connection is not None
with self._lock:
try:
self.connection.execute("BEGIN")
@@ -35,18 +42,16 @@ def _create_namespace_table(self):
id TEXT PRIMARY KEY,
created_at TIMESTAMP NOT NULL
)
- """
- )
+ """)
self.connection.execute("COMMIT")
except Exception as e:
self.connection.execute("ROLLBACK")
logger.error(f"Failed to create namespaces table: {e}")
raise
- def create_namespace(
- self,
- namespace_id: str
- ) -> Namespace:
+ def create_namespace(self, namespace_id: str) -> Namespace:
+ assert self._lock is not None
+ assert self.connection is not None
created_at = datetime.datetime.now(datetime.timezone.utc)
with self._lock:
try:
@@ -58,10 +63,7 @@ def create_namespace(
)
VALUES (?, ?)
""",
- (
- namespace_id,
- created_at
- ),
+ (namespace_id, created_at),
)
self.connection.execute("COMMIT")
except sqlite3.IntegrityError as e:
@@ -70,32 +72,35 @@ def create_namespace(
self.connection.execute("ROLLBACK")
logger.error(f"Failed to create namespace: {e}")
raise
- return Namespace(
- id=namespace_id,
- created_at=created_at
- )
+ return Namespace(id=namespace_id, created_at=created_at)
def get_namespace(self, namespace_id: str) -> Namespace | None:
+ assert self._lock is not None
+ assert self.connection is not None
with self._lock:
cursor: sqlite3.Cursor = self.connection.cursor()
cursor.row_factory = Namespace.row_factory
- cursor.execute("""
+ cursor.execute(
+ """
SELECT id, created_at
FROM namespaces
WHERE id = ?
""",
(namespace_id,),
)
- return cursor.fetchone()
+ return cursor.fetchone() # type: ignore[no-any-return]
def search_namespaces(
self,
limit: int = 10,
) -> list[Namespace]:
+ assert self._lock is not None
+ assert self.connection is not None
with self._lock:
cursor: sqlite3.Cursor = self.connection.cursor()
cursor.row_factory = Namespace.row_factory
- cursor.execute("""
+ cursor.execute(
+ """
SELECT id, created_at
FROM namespaces
LIMIT ?
@@ -105,6 +110,8 @@ def search_namespaces(
return cursor.fetchall()
def delete_namespace(self, namespace_id: str):
+ assert self._lock is not None
+ assert self.connection is not None
with self._lock:
self.connection.execute("BEGIN")
self.connection.execute("DELETE FROM namespaces WHERE id = ?", (namespace_id,))
@@ -112,6 +119,8 @@ def delete_namespace(self, namespace_id: str):
def reset(self) -> None:
"""Drop and recreate every table."""
+ assert self._lock is not None
+ assert self.connection is not None
with self._lock:
try:
self.connection.execute("BEGIN")
@@ -129,7 +138,7 @@ def close(self) -> None:
self.connection = None
def __enter__(self) -> "SQLiteManager":
- self.connection: sqlite3.Connection = sqlite3.connect(self.db_path, check_same_thread=False)
+ self.connection = sqlite3.connect(self.db_path, check_same_thread=False)
self._lock = threading.Lock()
self._create_namespace_table()
return self
@@ -138,4 +147,4 @@ def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
def __del__(self):
- self.close()
\ No newline at end of file
+ self.close()
diff --git a/kaizen/frontend/client/kaizen_client.py b/kaizen/frontend/client/kaizen_client.py
index 9861f30e..7da08f43 100644
--- a/kaizen/frontend/client/kaizen_client.py
+++ b/kaizen/frontend/client/kaizen_client.py
@@ -2,6 +2,8 @@
from kaizen.schema.exceptions import NamespaceNotFoundException
from kaizen.schema.conflict_resolution import EntityUpdate
from kaizen.config.kaizen import KaizenConfig
+from kaizen.backend.base import BaseEntityBackend
+
class KaizenClient:
"""Wrapper client around kaizen entity backends."""
@@ -9,23 +11,28 @@ class KaizenClient:
def __init__(self, config: KaizenConfig | None = None):
"""Initialize the Kaizen client."""
self.config = config or KaizenConfig()
- if self.config.backend == 'milvus':
+ self.backend: BaseEntityBackend
+
+ if self.config.backend == "milvus":
from kaizen.backend.milvus import MilvusEntityBackend
+
self.backend = MilvusEntityBackend(self.config.settings)
- elif self.config.backend == 'filesystem':
- from kaizen.backend.filesystem import FilesystemEntityBackend
+ elif self.config.backend == "filesystem":
+ from kaizen.backend.filesystem import FilesystemEntityBackend, FilesystemSettings
+
+ if not isinstance(self.config.settings, (FilesystemSettings, type(None))):
+ raise TypeError(
+ f"Type of `config` should be `{FilesystemSettings.__name__}` or `None`, got `{type(self.config.settings).__name__}`"
+ )
self.backend = FilesystemEntityBackend(self.config.settings)
else:
- raise NotImplementedError(f'Entity backend not implemented: {self.config.backend}')
+ raise NotImplementedError(f"Entity backend not implemented: {self.config.backend}")
def ready(self) -> bool:
"""Check if the backend is healthy."""
return self.backend.ready()
- def create_namespace(
- self,
- namespace_id: str | None = None
- ) -> Namespace:
+ def create_namespace(self, namespace_id: str | None = None) -> Namespace:
"""Create a new namespace for entities to exist in."""
return self.backend.create_namespace(namespace_id)
@@ -37,32 +44,20 @@ def get_namespace_details(self, namespace_id: str) -> Namespace:
"""Get details about a specific namespace."""
return self.backend.get_namespace_details(namespace_id)
- def search_namespaces(
- self,
- limit: int = 10
- ) -> list[Namespace]:
+ def search_namespaces(self, limit: int = 10) -> list[Namespace]:
"""Search namespace with filters."""
- return self.backend.search_namespaces( limit)
+ return self.backend.search_namespaces(limit)
def delete_namespace(self, namespace_id: str) -> None:
"""Delete a namespace that entities exist in."""
self.backend.delete_namespace(namespace_id)
- def update_entities(
- self,
- namespace_id: str,
- entities: list[Entity],
- enable_conflict_resolution: bool = True
- ) -> list[EntityUpdate]:
+ def update_entities(self, namespace_id: str, entities: list[Entity], enable_conflict_resolution: bool = True) -> list[EntityUpdate]:
"""Add multiple entities to a namespace."""
return self.backend.update_entities(namespace_id, entities, enable_conflict_resolution)
def search_entities(
- self,
- namespace_id: str,
- query: str | None = None,
- filters: dict | None = None,
- limit: int = 10
+ self, namespace_id: str, query: str | None = None, filters: dict | None = None, limit: int = 10
) -> list[RecordedEntity]:
"""Search for entities in a namespace."""
return self.backend.search_entities(namespace_id, query, filters, limit)
@@ -73,7 +68,7 @@ def get_all_entities(self, namespace_id: str, filters: dict | None = None, limit
def delete_entity_by_id(self, namespace_id: str, entity_id: str) -> None:
"""Delete a specific entity by its ID."""
- return self.backend.delete_entity_by_id(namespace_id, entity_id)
+ self.backend.delete_entity_by_id(namespace_id, entity_id)
# Convenience methods for common patterns
def namespace_exists(self, namespace_id: str) -> bool:
@@ -82,4 +77,4 @@ def namespace_exists(self, namespace_id: str) -> bool:
self.backend.get_namespace_details(namespace_id)
return True
except NamespaceNotFoundException:
- return False
\ No newline at end of file
+ return False
diff --git a/kaizen/frontend/mcp/__main__.py b/kaizen/frontend/mcp/__main__.py
index d062354e..7227155e 100644
--- a/kaizen/frontend/mcp/__main__.py
+++ b/kaizen/frontend/mcp/__main__.py
@@ -1,4 +1,5 @@
-from kaizen.frontend.mcp.server import mcp
+from kaizen.frontend.mcp.mcp_server import mcp
+
def main():
"""
@@ -8,4 +9,4 @@ def main():
if __name__ == "__main__":
- main()
\ No newline at end of file
+ main()
diff --git a/kaizen/llm/conflict_resolution/conflict_resolution.py b/kaizen/llm/conflict_resolution/conflict_resolution.py
index 4b631518..2e193444 100644
--- a/kaizen/llm/conflict_resolution/conflict_resolution.py
+++ b/kaizen/llm/conflict_resolution/conflict_resolution.py
@@ -4,15 +4,14 @@
from kaizen.config.llm import llm_settings
from kaizen.schema.conflict_resolution import SimpleEntity, EntityUpdate
from kaizen.schema.core import RecordedEntity
+from kaizen.schema.exceptions import KaizenException
from kaizen.utils.utils import clean_llm_response
from litellm import completion
from pathlib import Path
def resolve_conflicts(
- old_entities: list[RecordedEntity],
- new_entities: list[RecordedEntity],
- custom_update_entities_prompt: str | None = None
+ old_entities: list[RecordedEntity], new_entities: list[RecordedEntity], custom_update_entities_prompt: str | None = None
) -> list[EntityUpdate]:
simplified_old_entities = SimpleEntity.from_recorded_entities(old_entities)
simplified_new_entities = SimpleEntity.from_recorded_entities(new_entities)
@@ -20,29 +19,33 @@ def resolve_conflicts(
prompt = get_update_entities_messages(simplified_old_entities, simplified_new_entities, custom_update_entities_prompt)
- caught = None
+ last_error: Exception | None = None
for attempt in range(3):
try:
- response: str = completion(
+ completion_response = completion(
model=llm_settings.conflict_resolution_model,
messages=[{"role": "user", "content": prompt}],
- custom_llm_provider=llm_settings.custom_llm_provider
- ).choices[0].message.content
+ custom_llm_provider=llm_settings.custom_llm_provider,
+ )
+ response = completion_response.choices[0].message.content or "" # type: ignore[union-attr]
response = clean_llm_response(response)
parsed = json.loads(response)
- entity_updates = [EntityUpdate.model_validate(event) for event in parsed['entities']]
+ entity_updates = [EntityUpdate.model_validate(event) for event in parsed["entities"]]
for update in entity_updates:
- if update.event == 'ADD':
+ if update.event == "ADD":
update.metadata = new_entities_by_id[update.id].metadata
+
return entity_updates
except Exception as e:
- caught = e
- continue
- raise caught
+ last_error = e
+ if attempt < 2:
+ continue
+ raise KaizenException("Failed to resolve conflicts after 3 attempts") from last_error
+
def get_update_entities_messages(
- old_entities: list['SimpleEntity'],
- new_entities: list['SimpleEntity'],
+ old_entities: list["SimpleEntity"],
+ new_entities: list["SimpleEntity"],
custom_update_entities_prompt: str | None = None,
) -> str:
if custom_update_entities_prompt is None:
@@ -51,9 +54,9 @@ def get_update_entities_messages(
prompt_input = {
"custom_update_entities_prompt": custom_update_entities_prompt,
- "old_entities": json.dumps([entity.model_dump(mode='json') for entity in old_entities], indent=4),
- "new_entities": json.dumps([entity.model_dump(mode='json') for entity in new_entities], indent=4),
+ "old_entities": json.dumps([entity.model_dump(mode="json") for entity in old_entities], indent=4),
+ "new_entities": json.dumps([entity.model_dump(mode="json") for entity in new_entities], indent=4),
}
prompt_file = Path(__file__).parent / "prompts/conflict_resolution.jinja2"
- return Template(prompt_file.read_text()).render(**prompt_input)
\ No newline at end of file
+ return Template(prompt_file.read_text()).render(**prompt_input)
diff --git a/kaizen/llm/tips/tips.py b/kaizen/llm/tips/tips.py
index 1982f52a..5335f79c 100644
--- a/kaizen/llm/tips/tips.py
+++ b/kaizen/llm/tips/tips.py
@@ -23,9 +23,9 @@ def parse_openai_agents_trajectory(messages: list[dict]) -> dict:
- function_calls: List of tool/function calls made
- num_steps: Total number of agent actions
"""
- agent_steps = []
- function_calls = []
- task_instruction = None
+ agent_steps: list[dict[str, str | dict]] = []
+ function_calls: list[dict[str, str | dict]] = []
+ task_instruction: str | None = None
for message in messages:
# Extract task instruction from first user message
@@ -39,9 +39,7 @@ def parse_openai_agents_trajectory(messages: list[dict]) -> dict:
if message.get("role") == "assistant":
content = message.get("content", "")
if isinstance(content, str) and content.strip():
- agent_steps.append(
- {"type": "reasoning", "content": content, "raw": message}
- )
+ agent_steps.append({"type": "reasoning", "content": content, "raw": message})
# Extract function calls
elif isinstance(content, list):
@@ -60,14 +58,10 @@ def parse_openai_agents_trajectory(messages: list[dict]) -> dict:
args_str = assistant_response["function"]["arguments"]
try:
args: dict = json.loads(args_str)
- args_display = ", ".join(
- f"{k}={json.dumps(v)}" for k, v in args.items()
- )
+ args_display = ", ".join(f"{k}={json.dumps(v)}" for k, v in args.items())
function_description = f"{assistant_response['function']['name']}({args_display})"
except JSONDecodeError:
- function_description = (
- f"{assistant_response['function']['name']}({args_str})"
- )
+ function_description = f"{assistant_response['function']['name']}({args_str})"
agent_steps.append(
{
@@ -77,13 +71,9 @@ def parse_openai_agents_trajectory(messages: list[dict]) -> dict:
}
)
else:
- raise KaizenException(
- f"Unhandled assistant content type in list `{assistant_response['type']}`"
- )
+ raise KaizenException(f"Unhandled assistant content type in list `{assistant_response['type']}`")
else:
- raise KaizenException(
- f"Unhandled assistant content type `{type(content)}`"
- )
+ raise KaizenException(f"Unhandled assistant content type `{type(content)}`")
steps_text = []
for i, step in enumerate(agent_steps[:50], 1):
@@ -104,9 +94,7 @@ def parse_openai_agents_trajectory(messages: list[dict]) -> dict:
"task_instruction": task_instruction or "Unknown task",
"trajectory_summary": "\n\n".join(steps_text),
"function_calls": function_calls,
- "num_steps": len(
- [s for s in agent_steps if s["type"] in ["action", "reasoning"]]
- ),
+ "num_steps": len([s for s in agent_steps if s["type"] in ["action", "reasoning"]]),
}
@@ -121,9 +109,7 @@ def generate_tips(messages: list[dict]) -> list[Tip]:
model=llm_settings.tips_model,
custom_llm_provider=llm_settings.custom_llm_provider,
)
- constrained_decoding_supported = (
- supports_response_format and response_schema_enabled
- )
+ constrained_decoding_supported = supports_response_format and response_schema_enabled
trajectory_data = parse_openai_agents_trajectory(messages)
prompt = Template(prompt_file.read_text()).render(
task_instruction=trajectory_data["task_instruction"],
diff --git a/kaizen/schema/exceptions.py b/kaizen/schema/exceptions.py
index 6032b974..2c586dba 100644
--- a/kaizen/schema/exceptions.py
+++ b/kaizen/schema/exceptions.py
@@ -5,14 +5,17 @@
class KaizenException(Exception):
"""Base exception class for all kaizen errors."""
+
pass
class NamespaceNotFoundException(KaizenException):
"""Raised when a namespace is not found."""
+
pass
class NamespaceAlreadyExistsException(KaizenException):
"""Raised when a namespace already exists."""
+
pass
diff --git a/kaizen/sync/__init__.py b/kaizen/sync/__init__.py
index b2506ff8..40d028cf 100644
--- a/kaizen/sync/__init__.py
+++ b/kaizen/sync/__init__.py
@@ -1,3 +1,3 @@
from kaizen.sync.phoenix_sync import PhoenixSync
-__all__ = ['PhoenixSync']
+__all__ = ["PhoenixSync"]
diff --git a/kaizen/sync/phoenix_sync.py b/kaizen/sync/phoenix_sync.py
index d83c59d5..991473f6 100644
--- a/kaizen/sync/phoenix_sync.py
+++ b/kaizen/sync/phoenix_sync.py
@@ -59,7 +59,7 @@ def _ensure_namespace(self):
def _fetch_spans(self, limit: int = 1000) -> list[dict]:
"""Fetch spans from Phoenix, handling pagination."""
- spans = []
+ spans: list[dict] = []
cursor = None
while True:
@@ -90,29 +90,25 @@ def _get_processed_span_ids(self) -> set[str]:
filters={"type": "trajectory"},
limit=10000,
)
- return {
- e.metadata.get("span_id")
- for e in entities
- if e.metadata and e.metadata.get("span_id")
- }
+ return {str(e.metadata.get("span_id")) for e in entities if e.metadata and e.metadata.get("span_id")}
except NamespaceNotFoundException:
return set()
def _format_payload_summary(self, payload: Any) -> str:
"""Format a payload summary for secure logging (avoid PII)."""
type_name = type(payload).__name__
-
+
if isinstance(payload, str):
length = len(payload)
preview = payload[:50] + "..." if length > 50 else payload
# Replace newlines in preview to keep logs on one line
preview = preview.replace("\n", "\\n")
return f"<{type_name} length={length} preview='{preview}'>"
-
+
if isinstance(payload, (dict, list)):
length = len(payload)
return f"<{type_name} length={length}>"
-
+
return f"<{type_name}>"
def _parse_content(self, content: Any) -> Any:
@@ -138,7 +134,7 @@ def _extract_messages_from_span(self, span: dict) -> list[dict]:
# Note: Phoenix API might return these as JSON strings or lists depending on version
input_msgs = attrs.get("llm.input_messages")
output_msgs = attrs.get("llm.output_messages")
-
+
# If input_messages is missing, try parsing input.value
if input_msgs is None:
input_val = attrs.get("input.value")
@@ -147,7 +143,7 @@ def _extract_messages_from_span(self, span: dict) -> list[dict]:
parsed_input = self._parse_content(input_val)
if isinstance(parsed_input, dict) and "messages" in parsed_input:
input_msgs = parsed_input["messages"]
- elif isinstance(parsed_input, list): # rare but possible
+ elif isinstance(parsed_input, list): # rare but possible
input_msgs = parsed_input
except Exception as e:
logger.debug(f"Failed to parse input.value: {e}. Payload: {self._format_payload_summary(input_val)}")
@@ -157,24 +153,24 @@ def _extract_messages_from_span(self, span: dict) -> list[dict]:
# Ensure it's a list
if isinstance(input_msgs, str):
input_msgs = self._parse_content(input_msgs)
-
+
if isinstance(input_msgs, list):
for i, msg in enumerate(input_msgs):
- # OpenInference often uses message.role / message.content keys in flattened export
- # but via API it might be cleaner. Let's handle dict access safely.
- if isinstance(msg, str):
- try:
- msg = self._parse_content(msg)
- except Exception as e:
- logger.debug(f"Failed to parse input message string: {e}. Payload: {self._format_payload_summary(msg)}")
-
- if not isinstance(msg, dict):
- continue
- role = msg.get("message.role") or msg.get("role")
- content = msg.get("message.content") or msg.get("content")
- tool_calls = msg.get("message.tool_calls") or msg.get("tool_calls")
-
- if role:
+ # OpenInference often uses message.role / message.content keys in flattened export
+ # but via API it might be cleaner. Let's handle dict access safely.
+ if isinstance(msg, str):
+ try:
+ msg = self._parse_content(msg)
+ except Exception as e:
+ logger.debug(f"Failed to parse input message string: {e}. Payload: {self._format_payload_summary(msg)}")
+
+ if not isinstance(msg, dict):
+ continue
+ role = msg.get("message.role") or msg.get("role")
+ content = msg.get("message.content") or msg.get("content")
+ tool_calls = msg.get("message.tool_calls") or msg.get("tool_calls")
+
+ if role:
mapped_msg = {
"index": i,
"type": "prompt",
@@ -182,46 +178,46 @@ def _extract_messages_from_span(self, span: dict) -> list[dict]:
"content": self._parse_content(content),
}
if tool_calls:
- mapped_msg["tool_calls"] = tool_calls
+ mapped_msg["tool_calls"] = tool_calls
messages.append(mapped_msg)
# Handle Output/Completion from OpenInference
if output_msgs is None:
- output_val = attrs.get("output.value")
- if output_val:
- try:
- parsed_output = self._parse_content(output_val)
- # output.value is often just the string content or a list of choices
- if isinstance(parsed_output, list) and len(parsed_output) > 0 and "message" in parsed_output[0]:
- output_msgs = [c["message"] for c in parsed_output]
- elif isinstance(parsed_output, dict) and "choices" in parsed_output: # OpenAI response format
- output_msgs = [c["message"] for c in parsed_output["choices"]]
- else:
- # Fallback for simple string output
- output_msgs = [{"role": "assistant", "content": output_val}]
- #pass
- except Exception as e:
- logger.debug(f"Failed to parse output.value: {e}. Payload: {self._format_payload_summary(output_val)}")
+ output_val = attrs.get("output.value")
+ if output_val:
+ try:
+ parsed_output = self._parse_content(output_val)
+ # output.value is often just the string content or a list of choices
+ if isinstance(parsed_output, list) and len(parsed_output) > 0 and "message" in parsed_output[0]:
+ output_msgs = [c["message"] for c in parsed_output]
+ elif isinstance(parsed_output, dict) and "choices" in parsed_output: # OpenAI response format
+ output_msgs = [c["message"] for c in parsed_output["choices"]]
+ else:
+ # Fallback for simple string output
+ output_msgs = [{"role": "assistant", "content": output_val}]
+ # pass
+ except Exception as e:
+ logger.debug(f"Failed to parse output.value: {e}. Payload: {self._format_payload_summary(output_val)}")
if output_msgs:
- if isinstance(output_msgs, str):
+ if isinstance(output_msgs, str):
output_msgs = self._parse_content(output_msgs)
-
- if isinstance(output_msgs, list):
+
+ if isinstance(output_msgs, list):
for i, msg in enumerate(output_msgs):
- if isinstance(msg, str):
- try:
- msg = self._parse_content(msg)
- except Exception as e:
- logger.debug(f"Failed to parse output message string: {e}. Payload: {self._format_payload_summary(msg)}")
-
- if not isinstance(msg, dict):
- continue
- role = msg.get("message.role") or msg.get("role")
- content = msg.get("message.content") or msg.get("content")
- tool_calls = msg.get("message.tool_calls") or msg.get("tool_calls")
-
- if role:
+ if isinstance(msg, str):
+ try:
+ msg = self._parse_content(msg)
+ except Exception as e:
+ logger.debug(f"Failed to parse output message string: {e}. Payload: {self._format_payload_summary(msg)}")
+
+ if not isinstance(msg, dict):
+ continue
+ role = msg.get("message.role") or msg.get("role")
+ content = msg.get("message.content") or msg.get("content")
+ tool_calls = msg.get("message.tool_calls") or msg.get("tool_calls")
+
+ if role:
mapped_msg = {
"index": i,
"type": "completion",
@@ -229,7 +225,7 @@ def _extract_messages_from_span(self, span: dict) -> list[dict]:
"content": self._parse_content(content),
}
if tool_calls:
- mapped_msg["tool_calls"] = tool_calls
+ mapped_msg["tool_calls"] = tool_calls
messages.append(mapped_msg)
if messages:
@@ -330,7 +326,7 @@ def _convert_to_openai_format(self, content: Any, role: str) -> dict:
)
if role == "assistant":
- msg = {"role": "assistant"}
+ msg: dict[str, str | list | None] = {"role": "assistant"}
if thinking_parts:
msg["thinking"] = "\n\n".join(thinking_parts)
if text_parts:
@@ -379,9 +375,42 @@ def _extract_trajectory(self, span: dict) -> dict:
"timestamp": span.get("start_time"),
"messages": openai_messages,
"usage": {
- "prompt_tokens": next((v for v in [attrs.get("gen_ai.usage.prompt_tokens"), attrs.get("llm.token_count.prompt"), attrs.get("llm.usage.prompt_tokens")] if v is not None), None),
- "completion_tokens": next((v for v in [attrs.get("gen_ai.usage.completion_tokens"), attrs.get("llm.token_count.completion"), attrs.get("llm.usage.completion_tokens")] if v is not None), None),
- "total_tokens": next((v for v in [attrs.get("gen_ai.usage.total_tokens"), attrs.get("llm.token_count.total"), attrs.get("llm.usage.total_tokens")] if v is not None), None),
+ "prompt_tokens": next(
+ (
+ v
+ for v in [
+ attrs.get("gen_ai.usage.prompt_tokens"),
+ attrs.get("llm.token_count.prompt"),
+ attrs.get("llm.usage.prompt_tokens"),
+ ]
+ if v is not None
+ ),
+ None,
+ ),
+ "completion_tokens": next(
+ (
+ v
+ for v in [
+ attrs.get("gen_ai.usage.completion_tokens"),
+ attrs.get("llm.token_count.completion"),
+ attrs.get("llm.usage.completion_tokens"),
+ ]
+ if v is not None
+ ),
+ None,
+ ),
+ "total_tokens": next(
+ (
+ v
+ for v in [
+ attrs.get("gen_ai.usage.total_tokens"),
+ attrs.get("llm.token_count.total"),
+ attrs.get("llm.usage.total_tokens"),
+ ]
+ if v is not None
+ ),
+ None,
+ ),
},
}
@@ -480,9 +509,7 @@ def sync(
Returns:
SyncResult with counts of processed, skipped, and tips generated
"""
- logger.info(
- f"Starting sync from {self.phoenix_url} to namespace '{self.namespace_id}'"
- )
+ logger.info(f"Starting sync from {self.phoenix_url} to namespace '{self.namespace_id}'")
self._ensure_namespace()
@@ -518,7 +545,7 @@ def sync(
attrs = span.get("attributes") or {}
has_gen_ai = any(k.startswith("gen_ai.prompt.") for k in attrs)
has_llm_msgs = "llm.input_messages" in attrs or "input.value" in attrs
-
+
if not (has_gen_ai or has_llm_msgs):
continue
@@ -530,13 +557,10 @@ def sync(
tips_count = self._process_trajectory(trajectory)
processed += 1
tips_generated += tips_count
- logger.info(
- f"Processed span {span_id[:12]}... - "
- f"generated {tips_count} tips"
- )
+ logger.info(f"Processed span {span_id[:12]}... - generated {tips_count} tips")
except Exception as e:
error_msg = f"Error processing span {span_id}: {e}"
- logger.exception(error_msg)
+ logger.exception(error_msg)
errors.append(error_msg)
result = SyncResult(
@@ -546,9 +570,6 @@ def sync(
errors=errors,
)
- logger.info(
- f"Sync complete: {processed} processed, {skipped} skipped, "
- f"{tips_generated} tips generated, {len(errors)} errors"
- )
+ logger.info(f"Sync complete: {processed} processed, {skipped} skipped, {tips_generated} tips generated, {len(errors)} errors")
return result
diff --git a/kaizen/utils/utils.py b/kaizen/utils/utils.py
index dffd4c3f..e05ffb00 100644
--- a/kaizen/utils/utils.py
+++ b/kaizen/utils/utils.py
@@ -1,5 +1,6 @@
import re
+
def clean_llm_response(content: str) -> str:
"""
Removes common junk from an LLM response so that it can be parsed using `json.loads()`
@@ -10,5 +11,5 @@ def clean_llm_response(content: str) -> str:
"""
pattern = r"^```[a-zA-Z0-9]*\n(.*?)\n```$"
match = re.match(pattern, content.strip(), flags=re.MULTILINE | re.DOTALL)
- match_res=match.group(1).strip() if match else content.strip()
- return re.sub(r"<(?:think(?:ing)?|reflection)>.*?", "", match_res, flags=re.DOTALL).strip()
\ No newline at end of file
+ match_res = match.group(1).strip() if match else content.strip()
+ return re.sub(r"<(?:think(?:ing)?|reflection)>.*?", "", match_res, flags=re.DOTALL).strip()
diff --git a/plugins/kaizen/skills/learn/scripts/save_entities.py b/plugins/kaizen/skills/learn/scripts/save_entities.py
index 599bd554..783521c1 100644
--- a/plugins/kaizen/skills/learn/scripts/save_entities.py
+++ b/plugins/kaizen/skills/learn/scripts/save_entities.py
@@ -14,6 +14,7 @@
# Debug logging - use user-scoped directory for security
import tempfile
+
def _get_log_dir():
"""Get user-scoped log directory with restrictive permissions."""
try:
@@ -25,8 +26,10 @@ def _get_log_dir():
os.makedirs(log_dir, mode=0o700, exist_ok=True)
return log_dir
+
LOG_FILE = os.path.join(_get_log_dir(), "kaizen-plugin.log")
+
def log(message):
"""Append a timestamped message to the log file."""
if not os.environ.get("KAIZEN_DEBUG"):
@@ -35,6 +38,7 @@ def log(message):
with open(LOG_FILE, "a", encoding="utf-8") as f:
f.write(f"[{timestamp}] [save] {message}\n")
+
log("Script started")
@@ -128,8 +132,7 @@ def main():
existing_entities = load_existing_entities(entities_path)
if existing_entities is None:
log(f"Refusing to overwrite corrupted file: {entities_path}")
- print(f"Error: {entities_path} contains invalid JSON. "
- "Fix or remove the file before adding entities.", file=sys.stderr)
+ print(f"Error: {entities_path} contains invalid JSON. Fix or remove the file before adding entities.", file=sys.stderr)
sys.exit(1)
log(f"Found existing file: {entities_path} with {len(existing_entities)} entities")
print(f"Appending to existing file: {entities_path}")
diff --git a/plugins/kaizen/skills/recall/scripts/retrieve_entities.py b/plugins/kaizen/skills/recall/scripts/retrieve_entities.py
index eddf7e80..f2f53eb8 100644
--- a/plugins/kaizen/skills/recall/scripts/retrieve_entities.py
+++ b/plugins/kaizen/skills/recall/scripts/retrieve_entities.py
@@ -25,6 +25,7 @@ def _get_log_dir():
# Debug logging - use user-scoped directory for security
LOG_FILE = os.path.join(_get_log_dir(), "kaizen-plugin.log")
+
def log(message):
"""Append a timestamped message to the log file."""
if not os.environ.get("KAIZEN_DEBUG"):
@@ -33,13 +34,14 @@ def log(message):
with open(LOG_FILE, "a", encoding="utf-8") as f:
f.write(f"[{timestamp}] [retrieve] {message}\n")
+
log("Script started")
# Log all environment variables
log("=== Environment Variables ===")
for key, value in sorted(os.environ.items()):
# Mask sensitive values
- if any(sensitive in key.upper() for sensitive in ['PASSWORD', 'SECRET', 'TOKEN', 'KEY', 'API']):
+ if any(sensitive in key.upper() for sensitive in ["PASSWORD", "SECRET", "TOKEN", "KEY", "API"]):
log(f" {key}=***MASKED***")
else:
log(f" {key}={value}")
@@ -106,13 +108,13 @@ def format_entities(entities):
"""
items = []
for e in entities:
- content = e.get('content')
+ content = e.get("content")
if not content:
continue
item = f"- **[{e.get('category', 'general')}]** {content}"
- if e.get('rationale'):
+ if e.get("rationale"):
item += f"\n - _Rationale: {e['rationale']}_"
- if e.get('trigger'):
+ if e.get("trigger"):
item += f"\n - _When: {e['trigger']}_"
items.append(item)
diff --git a/pyproject.toml b/pyproject.toml
index ede106cb..8120e295 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,12 +35,13 @@ kaizen = "kaizen.cli.cli:app"
[dependency-groups]
dev = [
- "pytest",
"anyio",
- "python-dotenv>=1.2.1",
- "python-semantic-release",
"detect-secrets",
+ "mypy",
"pre-commit",
+ "pytest",
+ "python-dotenv>=1.2.1",
+ "python-semantic-release",
"ruff"
]
@@ -106,4 +107,20 @@ exclude_commit_patterns = [
[tool.semantic_release.changelog.default_templates]
changelog_file = "CHANGELOG.md"
-output_format = "md"
\ No newline at end of file
+output_format = "md"
+
+[tool.mypy]
+python_version = "3.12"
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = false
+
+[[tool.mypy.overrides]]
+module = [
+ "pymilvus.*",
+ "smolagents.*",
+ "milvus_lite.*",
+ "openinference.*",
+ "agents.*",
+]
+ignore_missing_imports = true
\ No newline at end of file
diff --git a/tests/llm/test_conflict_resolution.py b/tests/llm/test_conflict_resolution.py
index cbdc49d2..41fa6271 100644
--- a/tests/llm/test_conflict_resolution.py
+++ b/tests/llm/test_conflict_resolution.py
@@ -385,9 +385,9 @@ def test_resolve_conflicts_retry_logic(
# Test that exception is raised after max retries
mock_completion.reset_mock()
- mock_completion.side_effect = Exception("LLM error")
+ mock_completion.side_effect = Exception()
- with pytest.raises(Exception, match="LLM error"):
+ with pytest.raises(Exception, match="Failed to resolve conflicts after 3 attempts"):
resolve_conflicts(
sample_recorded_entities,
sample_recorded_entities,
diff --git a/tests/unit/test_client.py b/tests/unit/test_client.py
index 3f5cf08f..3c2d2692 100644
--- a/tests/unit/test_client.py
+++ b/tests/unit/test_client.py
@@ -21,18 +21,18 @@ def kaizen_client() -> KaizenClient:
@pytest.mark.unit
def test_health_check(kaizen_client: KaizenClient, monkeypatch):
# Client should return False derived from API response
- def ready(self) -> bool:
+ def never_ready(self) -> bool:
return False
- monkeypatch.setattr(kaizen_client.backend, "ready", ready.__get__(kaizen_client, BaseEntityBackend))
+ monkeypatch.setattr(kaizen_client.backend, "ready", never_ready.__get__(kaizen_client, BaseEntityBackend))
health_status = kaizen_client.ready()
assert not health_status
# Client should return True derived from API response
- def ready(self) -> bool:
+ def always_ready(self) -> bool:
return True
- monkeypatch.setattr(kaizen_client.backend, "ready", ready.__get__(kaizen_client, BaseEntityBackend))
+ monkeypatch.setattr(kaizen_client.backend, "ready", always_ready.__get__(kaizen_client, BaseEntityBackend))
health_status = kaizen_client.ready()
assert health_status
diff --git a/tests/unit/test_milvus_backend.py b/tests/unit/test_milvus_backend.py
index 976e17ef..07e7770d 100644
--- a/tests/unit/test_milvus_backend.py
+++ b/tests/unit/test_milvus_backend.py
@@ -218,20 +218,20 @@ def query(collection_name, filter="", output_fields=None, timeout=None, ids=None
assert result[0].content == "Test content"
# Test searching entities without a query (list all).
- result: list[RecordedEntity] = milvus_backend.search_entities(namespace_id="test_namespace", query=None)
+ result_2: list[RecordedEntity] = milvus_backend.search_entities(namespace_id="test_namespace", query=None)
- assert len(result) == 1
- assert result[0].id == "123"
- assert result[0].type == "fact"
- assert result[0].content == "Test content"
+ assert len(result_2) == 1
+ assert result_2[0].id == "123"
+ assert result_2[0].type == "fact"
+ assert result_2[0].content == "Test content"
# Test searching entities with filters.
- result = milvus_backend.search_entities(namespace_id="test_namespace", query="test_query", filters={"type": "fact"}, limit=10)
+ result_3 = milvus_backend.search_entities(namespace_id="test_namespace", query="test_query", filters={"type": "fact"}, limit=10)
- assert len(result) == 1
- assert result[0].id == "123"
- assert result[0].type == "fact"
- assert result[0].content == "Test content"
+ assert len(result_3) == 1
+ assert result_3[0].id == "123"
+ assert result_3[0].type == "fact"
+ assert result_3[0].content == "Test content"
@pytest.mark.unit
diff --git a/tests/unit/test_phoenix_sync.py b/tests/unit/test_phoenix_sync.py
index 49d2922d..695d7022 100644
--- a/tests/unit/test_phoenix_sync.py
+++ b/tests/unit/test_phoenix_sync.py
@@ -17,11 +17,7 @@ def phoenix_sync():
with patch("kaizen.sync.phoenix_sync.KaizenClient") as mock_client_class:
mock_client = MagicMock()
mock_client_class.return_value = mock_client
- sync = PhoenixSync(
- phoenix_url="http://test-phoenix:6006",
- namespace_id="test_namespace",
- project="test_project"
- )
+ sync = PhoenixSync(phoenix_url="http://test-phoenix:6006", namespace_id="test_namespace", project="test_project")
sync.client = mock_client
yield sync
@@ -89,12 +85,7 @@ class TestExtractMessagesFromSpan:
def test_extract_single_prompt(self, phoenix_sync):
"""Test extracting a single prompt message."""
- span = {
- "attributes": {
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "Hello, world!"
- }
- }
+ span = {"attributes": {"gen_ai.prompt.0.role": "user", "gen_ai.prompt.0.content": "Hello, world!"}}
messages = phoenix_sync._extract_messages_from_span(span)
assert len(messages) == 1
assert messages[0]["role"] == "user"
@@ -109,7 +100,7 @@ def test_extract_multiple_prompts(self, phoenix_sync):
"gen_ai.prompt.0.role": "system",
"gen_ai.prompt.0.content": "You are a helpful assistant.",
"gen_ai.prompt.1.role": "user",
- "gen_ai.prompt.1.content": "What is 2+2?"
+ "gen_ai.prompt.1.content": "What is 2+2?",
}
}
messages = phoenix_sync._extract_messages_from_span(span)
@@ -124,7 +115,7 @@ def test_extract_with_completion(self, phoenix_sync):
"gen_ai.prompt.0.role": "user",
"gen_ai.prompt.0.content": "Hi",
"gen_ai.completion.0.role": "assistant",
- "gen_ai.completion.0.content": "Hello! How can I help?"
+ "gen_ai.completion.0.content": "Hello! How can I help?",
}
}
messages = phoenix_sync._extract_messages_from_span(span)
@@ -142,12 +133,7 @@ def test_extract_empty_span(self, phoenix_sync):
def test_extract_parses_json_content(self, phoenix_sync):
"""Test that JSON content in attributes is parsed."""
- span = {
- "attributes": {
- "gen_ai.prompt.0.role": "assistant",
- "gen_ai.prompt.0.content": '[{"type": "text", "text": "Hello"}]'
- }
- }
+ span = {"attributes": {"gen_ai.prompt.0.role": "assistant", "gen_ai.prompt.0.content": '[{"type": "text", "text": "Hello"}]'}}
messages = phoenix_sync._extract_messages_from_span(span)
assert len(messages) == 1
assert messages[0]["content"] == [{"type": "text", "text": "Hello"}]
@@ -159,7 +145,7 @@ def test_extract_handles_non_sequential_indices(self, phoenix_sync):
"gen_ai.prompt.0.role": "user",
"gen_ai.prompt.0.content": "First",
"gen_ai.prompt.5.role": "user",
- "gen_ai.prompt.5.content": "Second"
+ "gen_ai.prompt.5.content": "Second",
}
}
messages = phoenix_sync._extract_messages_from_span(span)
@@ -192,19 +178,13 @@ def test_convert_text_block(self, phoenix_sync):
def test_convert_multiple_text_blocks(self, phoenix_sync):
"""Test converting multiple text blocks."""
- content = [
- {"type": "text", "text": "First part"},
- {"type": "text", "text": "Second part"}
- ]
+ content = [{"type": "text", "text": "First part"}, {"type": "text", "text": "Second part"}]
result = phoenix_sync._convert_to_openai_format(content, "assistant")
assert result["content"] == "First part\n\nSecond part"
def test_convert_thinking_block(self, phoenix_sync):
"""Test converting Anthropic thinking block."""
- content = [
- {"type": "thinking", "thinking": "Let me analyze this..."},
- {"type": "text", "text": "The answer is 42."}
- ]
+ content = [{"type": "thinking", "thinking": "Let me analyze this..."}, {"type": "text", "text": "The answer is 42."}]
result = phoenix_sync._convert_to_openai_format(content, "assistant")
assert result["role"] == "assistant"
assert result["thinking"] == "Let me analyze this..."
@@ -212,14 +192,7 @@ def test_convert_thinking_block(self, phoenix_sync):
def test_convert_tool_use_block(self, phoenix_sync):
"""Test converting Anthropic tool_use block."""
- content = [
- {
- "type": "tool_use",
- "id": "tool_123",
- "name": "read_file",
- "input": {"path": "/tmp/test.txt"}
- }
- ]
+ content = [{"type": "tool_use", "id": "tool_123", "name": "read_file", "input": {"path": "/tmp/test.txt"}}]
result = phoenix_sync._convert_to_openai_format(content, "assistant")
assert result["role"] == "assistant"
assert "tool_calls" in result
@@ -231,14 +204,7 @@ def test_convert_tool_use_block(self, phoenix_sync):
def test_convert_tool_result_block(self, phoenix_sync):
"""Test converting Anthropic tool_result block."""
- content = [
- {
- "type": "tool_result",
- "tool_use_id": "tool_123",
- "content": "File contents here",
- "is_error": False
- }
- ]
+ content = [{"type": "tool_result", "tool_use_id": "tool_123", "content": "File contents here", "is_error": False}]
result = phoenix_sync._convert_to_openai_format(content, "user")
assert result["role"] == "tool"
assert "tool_results" in result
@@ -250,12 +216,7 @@ def test_convert_mixed_content_blocks(self, phoenix_sync):
content = [
{"type": "thinking", "thinking": "I need to read the file first"},
{"type": "text", "text": "Let me check that file."},
- {
- "type": "tool_use",
- "id": "tool_456",
- "name": "read_file",
- "input": {"path": "/etc/hosts"}
- }
+ {"type": "tool_use", "id": "tool_456", "name": "read_file", "input": {"path": "/etc/hosts"}},
]
result = phoenix_sync._convert_to_openai_format(content, "assistant")
assert result["role"] == "assistant"
@@ -265,23 +226,13 @@ def test_convert_mixed_content_blocks(self, phoenix_sync):
def test_convert_filters_no_content_text(self, phoenix_sync):
"""Test that '(no content)' text is filtered out."""
- content = [
- {"type": "text", "text": "(no content)"},
- {"type": "text", "text": "Real content"}
- ]
+ content = [{"type": "text", "text": "(no content)"}, {"type": "text", "text": "Real content"}]
result = phoenix_sync._convert_to_openai_format(content, "assistant")
assert result["content"] == "Real content"
def test_convert_assistant_only_tool_calls(self, phoenix_sync):
"""Test assistant message with only tool calls (no text)."""
- content = [
- {
- "type": "tool_use",
- "id": "tool_789",
- "name": "bash",
- "input": {"command": "ls"}
- }
- ]
+ content = [{"type": "tool_use", "id": "tool_789", "name": "bash", "input": {"command": "ls"}}]
result = phoenix_sync._convert_to_openai_format(content, "assistant")
assert result["role"] == "assistant"
assert result.get("content") is None
@@ -311,10 +262,7 @@ class TestExtractTrajectory:
def test_extract_full_trajectory(self, phoenix_sync):
"""Test extracting a complete trajectory."""
span = {
- "context": {
- "trace_id": "trace_abc123",
- "span_id": "span_xyz789"
- },
+ "context": {"trace_id": "trace_abc123", "span_id": "span_xyz789"},
"start_time": "2024-01-15T10:30:00Z",
"attributes": {
"gen_ai.request.model": "claude-3-opus",
@@ -324,8 +272,8 @@ def test_extract_full_trajectory(self, phoenix_sync):
"gen_ai.completion.0.content": "2+2 equals 4.",
"gen_ai.usage.prompt_tokens": 10,
"gen_ai.usage.completion_tokens": 8,
- "llm.usage.total_tokens": 18
- }
+ "llm.usage.total_tokens": 18,
+ },
}
trajectory = phoenix_sync._extract_trajectory(span)
@@ -340,13 +288,13 @@ def test_extract_full_trajectory(self, phoenix_sync):
def test_extract_trajectory_with_tool_calls(self, phoenix_sync):
"""Test extracting trajectory with tool calls."""
- tool_use_content = json.dumps([
- {"type": "text", "text": "I'll read that file."},
- {"type": "tool_use", "id": "tool_1", "name": "read_file", "input": {"path": "/test"}}
- ])
- tool_result_content = json.dumps([
- {"type": "tool_result", "tool_use_id": "tool_1", "content": "file contents"}
- ])
+ tool_use_content = json.dumps(
+ [
+ {"type": "text", "text": "I'll read that file."},
+ {"type": "tool_use", "id": "tool_1", "name": "read_file", "input": {"path": "/test"}},
+ ]
+ )
+ tool_result_content = json.dumps([{"type": "tool_result", "tool_use_id": "tool_1", "content": "file contents"}])
span = {
"context": {"trace_id": "trace_1", "span_id": "span_1"},
@@ -360,8 +308,8 @@ def test_extract_trajectory_with_tool_calls(self, phoenix_sync):
"gen_ai.prompt.2.role": "user",
"gen_ai.prompt.2.content": tool_result_content,
"gen_ai.completion.0.role": "assistant",
- "gen_ai.completion.0.content": "The file contains: file contents"
- }
+ "gen_ai.completion.0.content": "The file contains: file contents",
+ },
}
trajectory = phoenix_sync._extract_trajectory(span)
@@ -384,12 +332,7 @@ def test_clean_removes_system_reminders(self, phoenix_sync):
"""Test that system reminders are removed."""
trajectory = {
"trace_id": "test",
- "messages": [
- {
- "role": "user",
- "content": "Hello This is a reminder there"
- }
- ]
+ "messages": [{"role": "user", "content": "Hello This is a reminder there"}],
}
cleaned = phoenix_sync._clean_trajectory(trajectory)
assert "" not in cleaned["messages"][0]["content"]
@@ -400,12 +343,7 @@ def test_clean_removes_multiline_system_reminders(self, phoenix_sync):
"""Test that multiline system reminders are removed."""
trajectory = {
"trace_id": "test",
- "messages": [
- {
- "role": "assistant",
- "content": "Start\n\nLine 1\nLine 2\n\nEnd"
- }
- ]
+ "messages": [{"role": "assistant", "content": "Start\n\nLine 1\nLine 2\n\nEnd"}],
}
cleaned = phoenix_sync._clean_trajectory(trajectory)
assert "" not in cleaned["messages"][0]["content"]
@@ -420,8 +358,8 @@ def test_clean_removes_empty_messages(self, phoenix_sync):
{"role": "user", "content": "Hello"},
{"role": "assistant", "content": ""},
{"role": "assistant", "content": None},
- {"role": "user", "content": "World"}
- ]
+ {"role": "user", "content": "World"},
+ ],
}
cleaned = phoenix_sync._clean_trajectory(trajectory)
assert len(cleaned["messages"]) == 2
@@ -430,15 +368,7 @@ def test_clean_removes_empty_messages(self, phoenix_sync):
def test_clean_preserves_tool_calls(self, phoenix_sync):
"""Test that messages with tool_calls but no content are preserved."""
- trajectory = {
- "trace_id": "test",
- "messages": [
- {
- "role": "assistant",
- "tool_calls": [{"id": "1", "function": {"name": "test"}}]
- }
- ]
- }
+ trajectory = {"trace_id": "test", "messages": [{"role": "assistant", "tool_calls": [{"id": "1", "function": {"name": "test"}}]}]}
cleaned = phoenix_sync._clean_trajectory(trajectory)
assert len(cleaned["messages"]) == 1
assert "tool_calls" in cleaned["messages"][0]
@@ -450,20 +380,15 @@ def test_clean_removes_only_reminder_content(self, phoenix_sync):
"messages": [
{"role": "user", "content": "Valid"},
{"role": "assistant", "content": "Only reminder"},
- {"role": "user", "content": "Also valid"}
- ]
+ {"role": "user", "content": "Also valid"},
+ ],
}
cleaned = phoenix_sync._clean_trajectory(trajectory)
assert len(cleaned["messages"]) == 2
def test_clean_preserves_non_string_content(self, phoenix_sync):
"""Test that non-string content is preserved."""
- trajectory = {
- "trace_id": "test",
- "messages": [
- {"role": "user", "content": ["list", "content"]}
- ]
- }
+ trajectory = {"trace_id": "test", "messages": [{"role": "user", "content": ["list", "content"]}]}
cleaned = phoenix_sync._clean_trajectory(trajectory)
assert len(cleaned["messages"]) == 1
assert cleaned["messages"][0]["content"] == ["list", "content"]
@@ -500,19 +425,18 @@ def test_sync_creates_namespace_if_not_exists(self, mock_generate_tips, mock_url
def test_sync_skips_already_processed(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that already processed spans are skipped."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "litellm_request",
- "context": {"trace_id": "t1", "span_id": "already_processed"},
- "attributes": {
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "test"
+ mock_response.read.return_value = json.dumps(
+ {
+ "data": [
+ {
+ "name": "litellm_request",
+ "context": {"trace_id": "t1", "span_id": "already_processed"},
+ "attributes": {"gen_ai.prompt.0.role": "user", "gen_ai.prompt.0.content": "test"},
}
- }
- ],
- "next_cursor": None
- }).encode()
+ ],
+ "next_cursor": None,
+ }
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -532,20 +456,19 @@ def test_sync_skips_already_processed(self, mock_generate_tips, mock_urlopen, ph
def test_sync_filters_error_spans(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that error spans are filtered by default."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "litellm_request",
- "status_code": "ERROR",
- "context": {"trace_id": "t1", "span_id": "s1"},
- "attributes": {
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "test"
+ mock_response.read.return_value = json.dumps(
+ {
+ "data": [
+ {
+ "name": "litellm_request",
+ "status_code": "ERROR",
+ "context": {"trace_id": "t1", "span_id": "s1"},
+ "attributes": {"gen_ai.prompt.0.role": "user", "gen_ai.prompt.0.content": "test"},
}
- }
- ],
- "next_cursor": None
- }).encode()
+ ],
+ "next_cursor": None,
+ }
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -561,22 +484,24 @@ def test_sync_filters_error_spans(self, mock_generate_tips, mock_urlopen, phoeni
def test_sync_includes_error_spans_when_requested(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that error spans are included when include_errors=True."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "litellm_request",
- "status_code": "ERROR",
- "context": {"trace_id": "t1", "span_id": "s1"},
- "start_time": "2024-01-15T10:00:00Z",
- "attributes": {
- "gen_ai.request.model": "test-model",
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "test message"
+ mock_response.read.return_value = json.dumps(
+ {
+ "data": [
+ {
+ "name": "litellm_request",
+ "status_code": "ERROR",
+ "context": {"trace_id": "t1", "span_id": "s1"},
+ "start_time": "2024-01-15T10:00:00Z",
+ "attributes": {
+ "gen_ai.request.model": "test-model",
+ "gen_ai.prompt.0.role": "user",
+ "gen_ai.prompt.0.content": "test message",
+ },
}
- }
- ],
- "next_cursor": None
- }).encode()
+ ],
+ "next_cursor": None,
+ }
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -593,16 +518,9 @@ def test_sync_includes_error_spans_when_requested(self, mock_generate_tips, mock
def test_sync_filters_non_llm_spans(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that non-LLM spans are filtered out."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "some_other_span",
- "context": {"trace_id": "t1", "span_id": "s1"},
- "attributes": {}
- }
- ],
- "next_cursor": None
- }).encode()
+ mock_response.read.return_value = json.dumps(
+ {"data": [{"name": "some_other_span", "context": {"trace_id": "t1", "span_id": "s1"}, "attributes": {}}], "next_cursor": None}
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -618,21 +536,23 @@ def test_sync_filters_non_llm_spans(self, mock_generate_tips, mock_urlopen, phoe
def test_sync_processes_valid_spans(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that valid spans are processed."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "litellm_request",
- "context": {"trace_id": "t1", "span_id": "s1"},
- "start_time": "2024-01-15T10:00:00Z",
- "attributes": {
- "gen_ai.request.model": "claude-3",
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "Hello"
+ mock_response.read.return_value = json.dumps(
+ {
+ "data": [
+ {
+ "name": "litellm_request",
+ "context": {"trace_id": "t1", "span_id": "s1"},
+ "start_time": "2024-01-15T10:00:00Z",
+ "attributes": {
+ "gen_ai.request.model": "claude-3",
+ "gen_ai.prompt.0.role": "user",
+ "gen_ai.prompt.0.content": "Hello",
+ },
}
- }
- ],
- "next_cursor": None
- }).encode()
+ ],
+ "next_cursor": None,
+ }
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -662,31 +582,33 @@ def test_sync_processes_valid_spans(self, mock_generate_tips, mock_urlopen, phoe
def test_sync_returns_correct_counts(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that sync returns correct counts in SyncResult."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "litellm_request",
- "context": {"trace_id": "t1", "span_id": "new_span"},
- "start_time": "2024-01-15T10:00:00Z",
- "attributes": {
- "gen_ai.request.model": "claude-3",
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "New message"
- }
- },
- {
- "name": "litellm_request",
- "context": {"trace_id": "t2", "span_id": "old_span"},
- "start_time": "2024-01-15T09:00:00Z",
- "attributes": {
- "gen_ai.request.model": "claude-3",
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "Old message"
- }
- }
- ],
- "next_cursor": None
- }).encode()
+ mock_response.read.return_value = json.dumps(
+ {
+ "data": [
+ {
+ "name": "litellm_request",
+ "context": {"trace_id": "t1", "span_id": "new_span"},
+ "start_time": "2024-01-15T10:00:00Z",
+ "attributes": {
+ "gen_ai.request.model": "claude-3",
+ "gen_ai.prompt.0.role": "user",
+ "gen_ai.prompt.0.content": "New message",
+ },
+ },
+ {
+ "name": "litellm_request",
+ "context": {"trace_id": "t2", "span_id": "old_span"},
+ "start_time": "2024-01-15T09:00:00Z",
+ "attributes": {
+ "gen_ai.request.model": "claude-3",
+ "gen_ai.prompt.0.role": "user",
+ "gen_ai.prompt.0.content": "Old message",
+ },
+ },
+ ],
+ "next_cursor": None,
+ }
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -716,21 +638,23 @@ def test_sync_returns_correct_counts(self, mock_generate_tips, mock_urlopen, pho
def test_sync_handles_processing_errors(self, mock_generate_tips, mock_urlopen, phoenix_sync):
"""Test that processing errors are captured."""
mock_response = MagicMock()
- mock_response.read.return_value = json.dumps({
- "data": [
- {
- "name": "litellm_request",
- "context": {"trace_id": "t1", "span_id": "s1"},
- "start_time": "2024-01-15T10:00:00Z",
- "attributes": {
- "gen_ai.request.model": "claude-3",
- "gen_ai.prompt.0.role": "user",
- "gen_ai.prompt.0.content": "test"
+ mock_response.read.return_value = json.dumps(
+ {
+ "data": [
+ {
+ "name": "litellm_request",
+ "context": {"trace_id": "t1", "span_id": "s1"},
+ "start_time": "2024-01-15T10:00:00Z",
+ "attributes": {
+ "gen_ai.request.model": "claude-3",
+ "gen_ai.prompt.0.role": "user",
+ "gen_ai.prompt.0.content": "test",
+ },
}
- }
- ],
- "next_cursor": None
- }).encode()
+ ],
+ "next_cursor": None,
+ }
+ ).encode()
mock_response.__enter__ = Mock(return_value=mock_response)
mock_response.__exit__ = Mock(return_value=False)
mock_urlopen.return_value = mock_response
@@ -765,6 +689,7 @@ def test_ensure_namespace_exists(self, phoenix_sync):
def test_ensure_namespace_creates_if_missing(self, phoenix_sync):
"""Test that missing namespace is created."""
from kaizen.schema.exceptions import NamespaceNotFoundException
+
phoenix_sync.client.get_namespace_details.side_effect = NamespaceNotFoundException()
phoenix_sync._ensure_namespace()
@@ -807,6 +732,7 @@ def test_get_processed_span_ids_with_entities(self, phoenix_sync):
def test_get_processed_span_ids_namespace_not_found(self, phoenix_sync):
"""Test that missing namespace returns empty set."""
from kaizen.schema.exceptions import NamespaceNotFoundException
+
phoenix_sync.client.search_entities.side_effect = NamespaceNotFoundException()
result = phoenix_sync._get_processed_span_ids()
diff --git a/tests/unit/test_tracing.py b/tests/unit/test_tracing.py
index 36ee046c..4e1fbc4e 100644
--- a/tests/unit/test_tracing.py
+++ b/tests/unit/test_tracing.py
@@ -15,18 +15,18 @@
class TestFrameworkDetection:
"""Tests for detect_installed_frameworks()"""
-
+
def test_returns_list(self):
"""Should return a list of framework names."""
from kaizen.auto import detect_installed_frameworks
-
+
frameworks = detect_installed_frameworks()
assert isinstance(frameworks, list)
-
+
def test_detect_openai_when_imported(self):
"""Should detect OpenAI if it can be imported."""
from kaizen.auto import detect_installed_frameworks
-
+
frameworks = detect_installed_frameworks()
# This will pass if openai is installed in test env
# Just verify we get a list back
@@ -35,18 +35,18 @@ def test_detect_openai_when_imported(self):
class TestInstrumentationCheck:
"""Tests for is_already_instrumented()"""
-
+
def test_returns_bool(self):
"""Should return a boolean."""
from kaizen.auto import is_already_instrumented
-
+
result = is_already_instrumented()
assert isinstance(result, bool)
-
+
def test_not_instrumented_with_proxy_provider(self):
"""Should return False when ProxyTracerProvider is set."""
from kaizen.auto import is_already_instrumented
-
+
# Just verify the function runs without error
result = is_already_instrumented()
assert isinstance(result, bool)
@@ -54,111 +54,111 @@ def test_not_instrumented_with_proxy_provider(self):
class TestEnableTracing:
"""Tests for enable_tracing() function"""
-
+
def test_returns_none_when_already_instrumented(self):
"""Should return None if already instrumented and force=False."""
from kaizen.auto import enable_tracing
-
- with patch('kaizen.auto.is_already_instrumented', return_value=True):
+
+ with patch("kaizen.auto.is_already_instrumented", return_value=True):
tracer = enable_tracing(project="test")
assert tracer is None
-
+
def test_uses_env_project_name(self):
"""Should use KAIZEN_TRACING_PROJECT env var."""
from kaizen.auto import enable_tracing
-
- with patch.dict(os.environ, {'KAIZEN_TRACING_PROJECT': 'env-project'}):
- with patch('kaizen.auto.is_already_instrumented', return_value=False):
- with patch('phoenix.otel.register') as mock_register:
+
+ with patch.dict(os.environ, {"KAIZEN_TRACING_PROJECT": "env-project"}):
+ with patch("kaizen.auto.is_already_instrumented", return_value=False):
+ with patch("phoenix.otel.register") as mock_register:
mock_register.return_value = MagicMock()
-
+
enable_tracing()
-
+
mock_register.assert_called_once()
call_kwargs = mock_register.call_args.kwargs
- assert call_kwargs['project_name'] == 'env-project'
-
+ assert call_kwargs["project_name"] == "env-project"
+
def test_force_overrides_instrumented_check(self):
"""Should instrument when force=True even if already instrumented."""
from kaizen.auto import enable_tracing
-
- with patch('kaizen.auto.is_already_instrumented', return_value=True):
- with patch('phoenix.otel.register') as mock_register:
+
+ with patch("kaizen.auto.is_already_instrumented", return_value=True):
+ with patch("phoenix.otel.register") as mock_register:
mock_register.return_value = MagicMock()
-
+
tracer = enable_tracing(project="test", force=True)
-
+
assert tracer is not None
mock_register.assert_called_once()
class TestAutoMode:
"""Tests for kaizen.auto module behavior"""
-
+
def test_auto_does_nothing_when_disabled(self):
"""Should not instrument when KAIZEN_AUTO_ENABLED is not set."""
import sys
-
+
# Ensure clean state
- if 'kaizen.auto' in sys.modules:
- del sys.modules['kaizen.auto']
-
- with patch.dict(os.environ, {'KAIZEN_AUTO_ENABLED': ''}, clear=False):
+ if "kaizen.auto" in sys.modules:
+ del sys.modules["kaizen.auto"]
+
+ with patch.dict(os.environ, {"KAIZEN_AUTO_ENABLED": ""}, clear=False):
# We need to spy on enable_tracing before importing
# But since it's defined in the module we're importing, we can't patch it directly
# Instead, we'll patch phoenix.otel.register which enable_tracing calls
-
- with patch('phoenix.otel.register') as mock_register:
- import kaizen.auto
-
+
+ with patch("phoenix.otel.register") as mock_register:
+ import kaizen.auto # noqa: F401
+
# Should not have called register
mock_register.assert_not_called()
class TestGetInstrumentedFrameworks:
"""Tests for get_instrumented_frameworks()"""
-
+
def test_returns_set(self):
"""Should return a set."""
from kaizen.auto import get_instrumented_frameworks
-
+
result = get_instrumented_frameworks()
assert isinstance(result, set)
-
+
def test_returns_copy(self):
"""Should return a copy, not the original set."""
from kaizen.auto import get_instrumented_frameworks, _instrumented_frameworks
-
+
result = get_instrumented_frameworks()
- result.add('fake_framework')
-
+ result.add("fake_framework")
+
# Original should not be modified
- assert 'fake_framework' not in _instrumented_frameworks
+ assert "fake_framework" not in _instrumented_frameworks
class TestFlushTraces:
"""Tests for flush_traces()"""
-
+
def test_flush_when_provider_exists(self):
"""Should call force_flush when provider exists."""
from kaizen import auto
-
+
mock_provider = MagicMock()
original_provider = auto._tracer_provider
-
+
try:
auto._tracer_provider = mock_provider
auto.flush_traces()
mock_provider.force_flush.assert_called_once()
finally:
auto._tracer_provider = original_provider
-
+
def test_flush_when_no_provider(self):
"""Should not raise when no provider."""
from kaizen import auto
-
+
original_provider = auto._tracer_provider
-
+
try:
auto._tracer_provider = None
auto.flush_traces() # Should not raise
@@ -168,27 +168,27 @@ def test_flush_when_no_provider(self):
class TestGetTracerProvider:
"""Tests for get_tracer_provider()"""
-
+
def test_returns_none_before_setup(self):
"""Should return None before tracing is enabled."""
from kaizen import auto
-
+
original_provider = auto._tracer_provider
-
+
try:
auto._tracer_provider = None
result = auto.get_tracer_provider()
assert result is None
finally:
auto._tracer_provider = original_provider
-
+
def test_returns_provider_after_setup(self):
"""Should return provider after tracing is enabled."""
from kaizen import auto
-
+
mock_provider = MagicMock()
original_provider = auto._tracer_provider
-
+
try:
auto._tracer_provider = mock_provider
result = auto.get_tracer_provider()
@@ -200,23 +200,20 @@ def test_returns_provider_after_setup(self):
@pytest.mark.unit
class TestTracingIntegration:
"""Integration-style tests for the tracing module."""
-
+
def test_enable_tracing_end_to_end(self):
"""Test enable_tracing with mocked Phoenix."""
from kaizen.auto import enable_tracing
-
- with patch('kaizen.auto.is_already_instrumented', return_value=False):
- with patch('phoenix.otel.register') as mock_register:
+
+ with patch("kaizen.auto.is_already_instrumented", return_value=False):
+ with patch("phoenix.otel.register") as mock_register:
mock_register.return_value = MagicMock()
-
+
tracer = enable_tracing(
project="integration-test",
endpoint="http://test:8080/traces",
- frameworks=[] # Empty list to skip framework instrumentation
+ frameworks=[], # Empty list to skip framework instrumentation
)
-
+
assert tracer is not None
- mock_register.assert_called_once_with(
- project_name="integration-test",
- endpoint="http://test:8080/traces"
- )
+ mock_register.assert_called_once_with(project_name="integration-test", endpoint="http://test:8080/traces")
diff --git a/uv.lock b/uv.lock
index f762a67a..6b646e57 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3,9 +3,9 @@ revision = 2
requires-python = ">=3.12"
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'win32'",
- "python_full_version >= '3.14' and sys_platform != 'win32'",
"python_full_version == '3.13.*' and sys_platform == 'win32'",
"python_full_version < '3.13' and sys_platform == 'win32'",
+ "python_full_version >= '3.14' and sys_platform != 'win32'",
"python_full_version == '3.13.*' and sys_platform != 'win32'",
"python_full_version < '3.13' and sys_platform != 'win32'",
]
@@ -137,16 +137,16 @@ wheels = [
[[package]]
name = "alembic"
-version = "1.18.1"
+version = "1.18.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "mako" },
{ name = "sqlalchemy" },
{ name = "typing-extensions" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/49/cc/aca263693b2ece99fa99a09b6d092acb89973eb2bb575faef1777e04f8b4/alembic-1.18.1.tar.gz", hash = "sha256:83ac6b81359596816fb3b893099841a0862f2117b2963258e965d70dc62fb866", size = 2044319, upload-time = "2026-01-14T18:53:14.907Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/79/41/ab8f624929847b49f84955c594b165855efd829b0c271e1a8cac694138e5/alembic-1.18.3.tar.gz", hash = "sha256:1212aa3778626f2b0f0aa6dd4e99a5f99b94bd25a0c1ac0bba3be65e081e50b0", size = 2052564, upload-time = "2026-01-29T20:24:15.124Z" }
wheels = [
- { url = "https://files.pythonhosted.org/packages/83/36/cd9cb6101e81e39076b2fbe303bfa3c85ca34e55142b0324fcbf22c5c6e2/alembic-1.18.1-py3-none-any.whl", hash = "sha256:f1c3b0920b87134e851c25f1f7f236d8a332c34b75416802d06971df5d1b7810", size = 260973, upload-time = "2026-01-14T18:53:17.533Z" },
+ { url = "https://files.pythonhosted.org/packages/45/8e/d79281f323e7469b060f15bd229e48d7cdd219559e67e71c013720a88340/alembic-1.18.3-py3-none-any.whl", hash = "sha256:12a0359bfc068a4ecbb9b3b02cf77856033abfdb59e4a5aca08b7eacd7b74ddd", size = 262282, upload-time = "2026-01-29T20:24:17.488Z" },
]
[[package]]
@@ -182,7 +182,7 @@ wheels = [
[[package]]
name = "arize-phoenix"
-version = "12.30.0"
+version = "12.33.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aioitertools" },
@@ -228,14 +228,14 @@ dependencies = [
{ name = "uvicorn" },
{ name = "wrapt" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/14/e2/22424fd20253f1c59e3da71c94931a8c68dc554979bc84b4b98cf975fad7/arize_phoenix-12.30.0.tar.gz", hash = "sha256:8377197b2baf803a40fdf4c2845f9f06f2ec03ea1a716bccb9763d16f8f21b02", size = 2389288, upload-time = "2026-01-15T14:06:23.268Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/9a/2bd87e148d962c9482c54f1ba4cd38396a839d908d2bc8b07da5e12f222b/arize_phoenix-12.33.1.tar.gz", hash = "sha256:40d7afd9755796bf089ef2db6798dbca147ae623198dcfadea004e244679ec79", size = 2393634, upload-time = "2026-01-30T03:14:20.314Z" }
wheels = [
- { url = "https://files.pythonhosted.org/packages/b0/b0/81f78329766bacb5f77cee5d6ed72fb78cd9ff3b0bc6228b365f194ab6f7/arize_phoenix-12.30.0-py3-none-any.whl", hash = "sha256:a9f4234507dbac5e8c2c9912438a9d8feb593c8343c32334b4af9d397bc1adaa", size = 2614872, upload-time = "2026-01-15T14:06:19.933Z" },
+ { url = "https://files.pythonhosted.org/packages/71/48/1202e20a0a9989f4d5089fc56be58f912d6bd3562a9c7bc41089b8ddb9ac/arize_phoenix-12.33.1-py3-none-any.whl", hash = "sha256:b4a937894d2b259d4d4bdbb81340c64325300833e5728712f12b191a26f84f97", size = 2619811, upload-time = "2026-01-30T03:14:17.919Z" },
]
[[package]]
name = "arize-phoenix-client"
-version = "1.27.2"
+version = "1.28.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -246,14 +246,14 @@ dependencies = [
{ name = "tqdm" },
{ name = "typing-extensions" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/76/16/fc82724016356a914f88e55f242c741f956b73eed170e89ba388778d2316/arize_phoenix_client-1.27.2.tar.gz", hash = "sha256:a4ab7eb474bf15f4c431d9b22d255901b8793025c077977996934b441b793c9a", size = 141389, upload-time = "2026-01-08T05:12:56.621Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/be/10/96f9dcb987630c21d376ab3c66307f11cb6d1f303e4dcbe56de3f8ad9ebb/arize_phoenix_client-1.28.0.tar.gz", hash = "sha256:014f3661e11d9adfbb1680278e9cfe01243e579a7c969a1fe178912afb3d58ee", size = 142706, upload-time = "2026-01-21T07:13:21.326Z" }
wheels = [
- { url = "https://files.pythonhosted.org/packages/cc/f6/687ee8d94141683a938312754ff2fec531761d8ad471901c81aea07609a5/arize_phoenix_client-1.27.2-py3-none-any.whl", hash = "sha256:30314eca082bb923b7985f2f7f139813b6f371d8790539c53a4373bdc9a2dcb5", size = 148242, upload-time = "2026-01-08T05:12:55.313Z" },
+ { url = "https://files.pythonhosted.org/packages/2c/0d/b68db9a21d7ced1bfe89561bc2481bf5a427963b9f7aad730bcde7d78fd3/arize_phoenix_client-1.28.0-py3-none-any.whl", hash = "sha256:a69f0d7667a8c0ff194b0304ba9b05f59c7b3b4f8167fd43f2d7a3363e7b004b", size = 149498, upload-time = "2026-01-21T07:13:19.92Z" },
]
[[package]]
name = "arize-phoenix-evals"
-version = "2.8.0"
+version = "2.9.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpath-ng" },
@@ -266,9 +266,9 @@ dependencies = [
{ name = "tqdm" },
{ name = "typing-extensions" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/4b/7d/7422485753261e58166d0b47311c5491336e798088fd0b6e5121b211ca69/arize_phoenix_evals-2.8.0.tar.gz", hash = "sha256:b5f74247e501002a90ddb488f6a02668d90c34017e60c85eeb454aaf997798a8", size = 113690, upload-time = "2026-01-08T19:34:53.22Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/f3/80d6157fc07f5a6bab6359cd34ebb7d18dc4c43d35d25438215b50101de2/arize_phoenix_evals-2.9.0.tar.gz", hash = "sha256:adc7f45d9ceaf9b0d8785aa94373eeb8d073f43f471c42c64a1d83d5ba1dc716", size = 117742, upload-time = "2026-02-03T04:11:05.966Z" }
wheels = [
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+ { url = "https://files.pythonhosted.org/packages/72/0f/1e091d6446840f28aca0eeda0c741a17c86c766045c73c0dd07bfa504191/arize_phoenix_evals-2.9.0-py3-none-any.whl", hash = "sha256:ed63891187fd71730d57e5c27f416fbfdb9c977d2bc996b47c1dd36c8493b499", size = 169650, upload-time = "2026-02-03T04:11:04.355Z" },
]
[[package]]
@@ -301,14 +301,14 @@ wheels = [
[[package]]
name = "authlib"
-version = "1.6.6"
+version = "1.6.7"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cryptography" },
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