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Jentic Apitools LLM - Unified LLM utilities and provider abstraction for consistent LLM usage across packages

Project description

llm

Unified LLM provider abstraction for consistent LLM usage across the Jentic API Tools monorepo. Supports Anthropic Claude, AWS Bedrock, OpenAI, and Google Gemini behind a common interface.

Key Features

The package provides an LLMHelper facade that automatically selects the configured provider and model, with a light_mode option for cheaper operations. Under the hood, each provider implements the LLMProvider abstract base class with a synchronous call method. Response parsing utilities handle markdown fence stripping, JSON extraction, and success field parsing from canonical LLM payloads. A SemanticContextBuilder constructs structured context strings from OpenAPI specs for inclusion in prompts.

Dependencies

Internal: jentic.apitools.common. External: requests, boto3.

Installation

uv add llm

Quick Start

from jentic.apitools.llm import LLMHelper

helper = LLMHelper()  # Uses settings defaults
response = helper.call_llm("Summarize this API endpoint.")

# Light mode for cheaper operations
helper = LLMHelper(light_mode=True)
response = helper.call_llm("Quick summary.")

Testing

uv run --package llm pytest packages/llm/tests -v

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