LLM utilities and context management for kiarina namespace
Project description
kiarina-llm
A Python library for LLM utilities and context management with type safety and configuration management.
Features
- AppContext Management: Application-level context for platform directories
- RunContext Management: Structured context information for LLM pipeline processing
- Type Safety: Full type hints and Pydantic validation
- Configuration Management: Use
pydantic-settings-managerfor flexible configuration - Filesystem Safe Names: Validated names for cross-platform compatibility
- ID Validation: Structured ID types with pattern validation
Installation
pip install kiarina-llm
Quick Start
Basic Usage
from kiarina.llm.run_context import create_run_context
# Create a run context
context = create_run_context(
tenant_id="tenant-123",
user_id="user-456",
agent_id="my-agent",
time_zone="Asia/Tokyo",
language="ja"
)
print(f"User: {context.user_id}")
print(f"Agent: {context.agent_id}")
Configuration
Configure defaults using pydantic-settings-manager:
from kiarina.llm.run_context import settings_manager
settings_manager.user_config = {
"tenant_id": "default-tenant",
"time_zone": "America/New_York",
"language": "en"
}
Or use environment variables:
export KIARINA_LLM_RUN_CONTEXT_TENANT_ID="prod-tenant"
export KIARINA_LLM_RUN_CONTEXT_TIME_ZONE="Asia/Tokyo"
API Reference
AppContext
Application-level context for platform directories:
from kiarina.llm.app_context import get_app_context, settings_manager
# Configure app context
settings_manager.user_config = {
"app_author": "MyCompany",
"app_name": "MyAIApp"
}
# Get app context
app_context = get_app_context()
print(f"Author: {app_context.app_author}")
print(f"Name: {app_context.app_name}")
RunContext
Run-level context for LLM pipeline processing:
| Field | Type | Description | Example |
|---|---|---|---|
app_author |
FSName |
Application author | "MyCompany" |
app_name |
FSName |
Application name | "MyAIApp" |
tenant_id |
IDStr |
Tenant identifier | "tenant-123" |
user_id |
IDStr |
User identifier | "user-456" |
agent_id |
IDStr |
Agent identifier | "my-agent" |
runner_id |
IDStr |
Runner identifier | "linux" |
time_zone |
str |
IANA time zone | "Asia/Tokyo" |
language |
str |
Language code | "ja" |
currency |
str |
Currency code | "USD" |
metadata |
dict[str, Any] |
Additional metadata | {"version": "1.0"} |
Type Validation
- FSName: Filesystem-safe names (alphanumeric, dots, underscores, hyphens, spaces)
- IDStr: Identifier strings (alphanumeric, dots, underscores, hyphens)
Configuration Reference
AppContext Settings
| Setting | Environment Variable | Default | Description |
|---|---|---|---|
app_author |
KIARINA_LLM_APP_CONTEXT_APP_AUTHOR |
"kiarina" |
Application author |
app_name |
KIARINA_LLM_APP_CONTEXT_APP_NAME |
"kiarina-llm" |
Application name |
RunContext Settings
| Setting | Environment Variable | Default | Description |
|---|---|---|---|
tenant_id |
KIARINA_LLM_RUN_CONTEXT_TENANT_ID |
"" |
Default tenant ID |
user_id |
KIARINA_LLM_RUN_CONTEXT_USER_ID |
"" |
Default user ID |
agent_id |
KIARINA_LLM_RUN_CONTEXT_AGENT_ID |
"" |
Default agent ID |
runner_id |
KIARINA_LLM_RUN_CONTEXT_RUNNER_ID |
platform.system().lower() |
Default runner ID |
time_zone |
KIARINA_LLM_RUN_CONTEXT_TIME_ZONE |
"UTC" |
Default time zone |
language |
KIARINA_LLM_RUN_CONTEXT_LANGUAGE |
"en" |
Default language |
currency |
KIARINA_LLM_RUN_CONTEXT_CURRENCY |
"USD" |
Default currency code |
Development
Prerequisites
- Python 3.12+
Setup
# Clone the repository
git clone https://github.com/kiarina/kiarina-python.git
cd kiarina-python
# Setup development environment (installs tools, syncs dependencies, downloads test data)
mise run setup
Running Tests
# Run format, lint, type checks and tests
mise run package kiarina-llm
# Coverage report
mise run package:test kiarina-llm --coverage
# Run specific tests
uv run --group test pytest packages/kiarina-llm/tests/run_context/
Dependencies
- pydantic - Data validation using Python type hints
- pydantic-settings - Settings management
- pydantic-settings-manager - Advanced settings management
Roadmap
This package is in active development. Planned features include:
- Chat Model Management: Unified interface for different LLM providers
- Agent Framework: Tools for building LLM agents
- Pipeline Management: Workflow management for LLM processing
- Memory Management: Context and conversation memory handling
- Tool Integration: Framework for LLM tool calling
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
This is a personal project, but contributions are welcome! Please feel free to submit issues or pull requests.
Related Projects
- kiarina-python - The main monorepo containing this package
- pydantic-settings-manager - Configuration management library used by this package
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