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chore(version): update package versions to 0.5.5
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CHANGELOG.md

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- **Per-Class Extraction Model Override** — New JSON Schema extension allows overriding the global `extraction.model` on a per-document-class basis. Useful when certain document types benefit from a different model (e.g., a more powerful model for complex financial forms, a faster/cheaper model for simple documents). Classes without the extension continue to use the global default. Works with both traditional and agentic extraction modes. See `docs/extraction.md` — Per-Class Extraction Model Override section.
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- **IDP CLI `chat` Command & SDK `ChatOperation`** — Interactive Agent Companion Chat from the terminal and programmatic SDK access. Runs the same multi-agent orchestrator as the Web UI locally, with real-time streaming and multi-turn conversation support. Includes Analytics Agent, Error Analyzer Agent, and optionally Code Intelligence Agent (`--enable-code-intelligence`). Available as `idp-cli chat --stack-name <stack>` for interactive use, `--prompt` flag for single-shot scripting, and `client.chat.send_message()` in the Python SDK. See `docs/idp-cli.md#chat`.
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- **Chandra OCR Lambda Hook Sample** — New `GENAIIDP-chandra-ocr-hook` sample in `samples/lambda-hook-inference/` that integrates [Datalab Chandra OCR 2](https://github.com/datalab-to/chandra) with the LambdaHook feature for high-quality OCR. Supports 90+ languages, math, tables, forms, and handwriting. Uses the Datalab hosted async API (`/api/v1/convert`) with configurable output format (markdown/json/html) and conversion mode (fast/balanced/accurate). Includes standalone SAM template, local test script, and deployment instructions. See `docs/lambda-hook-inference.md` — Chandra OCR Integration section.
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- **Average Cost Per Page Metric** — Test results and test comparison views now display an "Avg Cost/Page" metric, calculated from total cost and page counts in the cost breakdown. Also included in CSV and JSON exports from the comparison view.

VERSION

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0.5.5.rc1
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0.5.5

lib/idp_cli_pkg/idp_cli/cli.py

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@click.group()
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@click.version_option(version="0.5.4")
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@click.version_option(version="0.5.5")
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def cli():
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"""
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IDP CLI - Batch document processing for IDP Accelerator

lib/idp_cli_pkg/pyproject.toml

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[project]
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name = "idp-cli"
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version = "0.5.4"
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version = "0.5.5"
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description = "Command-line interface for IDP Accelerator batch document processing"
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authors = [{name = "AWS"}]
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license = {text = "MIT-0"}

lib/idp_common_pkg/pyproject.toml

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[project]
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name = "idp_common"
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version = "0.5.4"
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version = "0.5.5"
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description = "Common utilities for GenAI IDP Accelerator patterns"
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authors = [{ name = "AWS", email = "noreply@amazon.com" }]
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requires-python = ">=3.12,<3.14"

lib/idp_common_pkg/setup.py

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setup(
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name="idp_common",
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version="0.5.4",
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version="0.5.5",
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packages=find_packages(
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exclude=[
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"build",

lib/idp_mcp_connector_pkg/idp_mcp_connector/__init__.py

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IDP Accelerator's remote MCP Server on Amazon Bedrock AgentCore Gateway.
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"""
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__version__ = "0.5.4"
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__version__ = "0.5.5"
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__all__ = ["CognitoAuth", "IDPMCPConnector", "run_connector"]
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from .auth import CognitoAuth

lib/idp_mcp_connector_pkg/pyproject.toml

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[project]
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name = "idp_mcp_connector"
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version = "0.5.4"
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version = "0.5.5"
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description = "Local MCP connector that bridges IDE tools (Cline, Kiro) to the IDP Accelerator MCP Server on AWS Bedrock AgentCore Gateway"
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readme = "README.md"
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requires-python = ">=3.11"

lib/idp_sdk/idp_sdk/__init__.py

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TemplateTransformResult,
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)
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__version__ = "0.5.4"
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__version__ = "0.5.5"
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__all__ = [
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# Client

lib/idp_sdk/pyproject.toml

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[project]
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name = "idp-sdk"
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version = "0.5.4"
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version = "0.5.5"
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description = "Python SDK for IDP Accelerator - programmatic access to document processing capabilities"
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authors = [{name = "AWS"}]
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license = {text = "MIT-0"}

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