diff --git a/align_system/algorithms/abstracts.py b/align_system/algorithms/abstracts.py
index e10310c9..029f8021 100644
--- a/align_system/algorithms/abstracts.py
+++ b/align_system/algorithms/abstracts.py
@@ -16,11 +16,11 @@ def choose_action(self,
 
 class StructuredInferenceEngine(ABC):
     @abstractmethod
-    def dialog_to_prompt(dialog: list[dict]) -> str:
+    def dialog_to_prompt(self, dialog: list[dict]) -> str:
         pass
 
     @abstractmethod
-    def run_inference(prompts: Union[str, list[str]],
+    def run_inference(self, prompts: Union[str, list[str]],
                       schema: str) -> Union[dict, list[dict]]:
         pass
 
diff --git a/align_system/algorithms/openai_inference_engine.py b/align_system/algorithms/openai_inference_engine.py
new file mode 100644
index 00000000..3ec0b1eb
--- /dev/null
+++ b/align_system/algorithms/openai_inference_engine.py
@@ -0,0 +1,450 @@
+import json
+import time
+import tempfile
+
+from typing import Union, Optional, Literal, List, Dict
+from openai import OpenAI, not_given
+from textwrap import dedent
+
+from align_system.algorithms.abstracts import StructuredInferenceEngine
+from align_system.utils import logging
+
+log = logging.getLogger(__name__)
+
+class OpenAIInferenceEngine(StructuredInferenceEngine):
+    """StructuredInferenceEngine implementation that interfaces with the OpenAI Responses API.
+
+    Supports two execution modes:
+      - **Synchronous** (default for single prompts): calls the Responses
+        API directly for each prompt.
+      - **Batch** (default for multiple prompts): uploads prompts as JSONL
+        to the OpenAI Batch API and polls for completion.
+
+    Also works against vLLM-compatible servers when ``base_url`` is provided,
+    in which case the "developer" role rename is skipped.
+    """
+
+    def __init__(self,
+                 model_name: str,
+                 temperature: float,
+                 top_p: float,
+                 max_tokens: int,
+                 base_url: Optional[str] = None,
+                 api_key: Optional[str] = None,
+                 _strict_response_validation: bool = False,
+                 timeout: Union[float, None, Literal["NOT_GIVEN"]] = "NOT_GIVEN",
+                 use_batch_api: bool = True
+                ):
+        """Initialize the OpenAI inference engine.
+
+        Args:
+            model_name: OpenAI model identifier (e.g. "gpt-5.2").
+            temperature: Sampling temperature (currently disabled server-side).
+            top_p: Nucleus sampling parameter (currently disabled server-side).
+            max_tokens: Maximum output tokens per response.
+            base_url: Optional URL for a vLLM-compatible server. When set,
+                the "system" role is kept instead of being renamed to
+                "developer".
+            api_key: OpenAI API key. Defaults to the ``OPENAI_API_KEY``
+                environment variable.
+            _strict_response_validation: When True, raise on unexpected
+                fields in API responses.
+            timeout: Request timeout in seconds, or None for no timeout.
+            use_batch_api: When True (default), use the Batch API for
+                multi-prompt requests.
+        """
+
+        self.client = OpenAI(
+            api_key=api_key,
+            base_url=base_url,
+            timeout=not_given if timeout == "NOT_GIVEN" else timeout,
+            _strict_response_validation=_strict_response_validation
+        )
+
+        self.using_vllm = base_url is not None
+        self.use_batch_api = use_batch_api
+
+        self.static_responses_kwargs = {
+            "model": model_name,
+            "reasoning": {"effort": "medium",  "summary": "auto"},
+            "max_output_tokens": max_tokens,
+            # Temporarily disabled.
+            # Server is telling me these are not supported, but docs say they are.
+            # "temperature": temperature,
+            # "top_p": top_p,
+            "service_tier":"flex",
+            "store":True
+        }
+
+        self.static_batches_kwargs = {
+            "model": model_name,
+            "reasoning": {"effort": "medium",  "summary": "auto"},
+            "max_output_tokens": max_tokens,
+            # Temporarily disabled.
+            # Server is telling me these are not supported, but docs say they are.
+            # "temperature": temperature,
+            # "top_p": top_p,
+            "store":True
+        }
+
+        self._cache_repr: str = dedent(f"""
+                        {self.__class__.__module__}.{self.__class__.__name__}(
+                        model_name="{model_name}",
+                        temperature="{temperature}",
+                        top_p="{top_p}",
+                        max_tokens="{max_tokens}",
+                        base_url="{base_url}",
+                        api_key="{api_key}",
+                        _strict_response_validation="{_strict_response_validation}",
+                        timeout="{timeout}"
+                       )""").strip()
+
+    def dialog_to_prompt(self, dialog: list[dict]) -> str:
+        """Serialize a dialog into a JSON string for use with ``run_inference``.
+
+        Converts each element to a plain dict. When targeting the native
+        OpenAI API (not vLLM), "system" roles are renamed to "developer"
+        via ``_conform_to_openai_prompt_roles``.
+
+        Args:
+            dialog: List of DialogElements or message dicts with "role" and
+                "content" keys.
+
+        Returns:
+            JSON string encoding the list of message dicts, suitable for
+            passing directly to ``run_inference`` or ``run_inference_unstructured``.
+        """
+        # Convert DialogElement objects to dicts if needed
+        prompts = [dict(d) for d in dialog]
+        if not self.using_vllm:
+            prompts = _conform_to_openai_prompt_roles(prompts)
+        return json.dumps(prompts)
+
+    def run_inference(self, prompts: Union[str, List[str]], schema: str) -> Union[Dict, List[Dict]]:
+        """Run inference with structured (JSON schema) output.
+
+        Args:
+            prompts: A single JSON-serialized prompt string or a list of them.
+            schema: JSON schema string that the model output must conform to.
+
+        Returns:
+            A list of parsed response dicts (one per prompt).
+        """
+        return self._run_inference(prompts, schema)
+
+    def run_inference_unstructured(self, prompts: Union[str, list[str]]) -> Union[Dict, List[Dict]]:
+        """Run inference without structured output constraints.
+
+        Args:
+            prompts: A single JSON-serialized prompt string or a list of them.
+
+        Returns:
+            A list of dicts with a "response" key containing the raw text.
+        """
+        return self._run_inference(prompts)
+
+    def _run_inference(self, prompts: Union[str, list[str]], schema: Optional[str] = None) -> Union[Dict, List[Dict]]:
+        """Internal dispatch: deserializes prompts and routes to sync or batch execution.
+
+        Uses the Batch API when multiple prompts are provided and
+        ``use_batch_api`` is True; otherwise processes synchronously.
+
+        Args:
+            prompts: A single JSON-serialized prompt string or a list of them.
+            schema: Optional JSON schema string for structured output.
+
+        Returns:
+            A list of parsed response dicts.
+        """
+        json_prompts = _deserialize_prompts(prompts)
+        text_kwargs = _response_format_field(schema)
+
+        # Use batch API if enabled and we have multiple prompts
+        if len(json_prompts) > 1 and self.use_batch_api:
+            return self._create_batches(json_prompts, text_kwargs)
+        else:
+            return self._create_responses(json_prompts, text_kwargs)
+  
+
+    def _create_responses(self, prompts: List[List[Dict]], text_kwargs):
+        """Run prompts synchronously via the Responses API.
+
+        Iterates over each prompt, calls ``responses.create``, and
+        extracts the parsed content from each response.
+
+        Args:
+            prompts: List of deserialized message lists.
+            text_kwargs: Dict with ``text`` key for structured output
+                format, or empty dict for unstructured.
+
+        Returns:
+            List of parsed response dicts (one per prompt).
+        """
+        results = []
+        for p in prompts:
+            response = self.client.responses.create(input=json.dumps(p), **text_kwargs, **self.static_responses_kwargs)
+            # Convert response object to dict for processing
+            response_dict = response.model_dump()
+            parsed_result = _extract_response_content(response_dict, has_schema=bool(text_kwargs))
+            results.append(parsed_result)
+        return results
+
+    def _create_batches(self, prompts: List[List[Dict]], text_kwarg: dict) -> List[Dict]:
+        """
+        Run inference using OpenAI Batch API for async processing.
+        Docs: https://platform.openai.com/docs/guides/batch
+
+        Args:
+            prompts: List of List of 2 JSON dictionaries each
+            text_kwarg: Dictionary containing text format configuration
+
+        Returns:
+            List of parsed response dictionaries
+        """
+        # Prepare batch requests in JSONL format
+        batch_requests = []
+        for idx, prompt in enumerate(prompts):
+            # Build the request parameters
+            request_params = {
+                **self.static_batches_kwargs,
+                **text_kwarg,
+                "input": prompt
+            }
+
+            # Create batch request in the format expected by the Batch API
+            batch_request = {
+                "custom_id": f"request-{idx}",
+                "method": "POST",
+                "url": "/v1/responses",
+                "body": request_params
+            }
+            batch_requests.append(batch_request)
+
+        # Write batch requests to a temporary JSONL file
+        with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
+            for request in batch_requests:
+                f.write(json.dumps(request) + '\n')
+            batch_file_path = f.name
+
+        try:
+            # Upload the batch file
+            with open(batch_file_path, 'rb') as f:
+                batch_input_file = self.client.files.create(
+                    file=f,
+                    purpose="batch"
+                )
+
+            # Create the batch
+            batch = self.client.batches.create(
+                input_file_id=batch_input_file.id,
+                endpoint="/v1/responses",
+                completion_window="24h"
+            )
+
+            # Poll for batch completion
+            log.info(f"Batch {batch.id} created, polling for completion...")
+            while batch.status in ["validating", "in_progress", "finalizing"]:
+                time.sleep(5)  # Poll every 5 seconds
+                batch = self.client.batches.retrieve(batch.id)
+                log.debug(f"Batch status: {batch.status}")
+
+            if batch.status == "completed":
+                # Download and parse results
+                result_file_id = batch.output_file_id
+
+                # Retry a few times if output_file_id is None (API may need time to populate it)
+                retry_count = 0
+                max_retries = 3
+                while result_file_id is None and retry_count < max_retries:
+                    log.warning(f"Warning: output_file_id is None, retrying ({retry_count + 1}/{max_retries})...")
+                    time.sleep(2)  # Wait 2 seconds
+                    batch = self.client.batches.retrieve(batch.id)
+                    result_file_id = batch.output_file_id
+                    retry_count += 1
+
+                # If still None after retries, raise error
+                if result_file_id is None:
+                    log.error(f"ERROR: Batch {batch.id} marked as completed but output_file_id is None after {max_retries} retries")
+                    log.error(f"Batch details: {batch}")
+                    raise RuntimeError(
+                        f"Batch {batch.id} completed but output_file_id was not populated after {max_retries} retries. "
+                        f"Check batch error details: {getattr(batch, 'errors', 'No error info available')}"
+                    )
+
+                result_content = self.client.files.content(result_file_id)
+                result_lines = result_content.text.strip().split('\n')
+
+                # Parse results and match to original order by custom_id
+                results_dict = {}
+                for line in result_lines:
+                    result = json.loads(line)
+                    custom_id = result['custom_id']
+                    idx = int(custom_id.split('-')[1])
+
+                    # Extract the response
+                    if result.get('response'):
+                        response_data = result['response']['body']
+                        # Parse the response similar to sync path
+                        parsed_result = _extract_response_content(
+                            response_data,
+                            has_schema=bool(text_kwarg)
+                        )
+                        results_dict[idx] = parsed_result
+                    else:
+                        # Handle errors
+                        results_dict[idx] = None
+
+                # Return results in original order
+                return [results_dict.get(i) for i in range(len(prompts))]
+
+            elif batch.status == "failed":
+                raise RuntimeError(f"Batch processing failed: {batch}")
+            elif batch.status == "expired":
+                raise RuntimeError(f"Batch processing expired: {batch}")
+            else:
+                raise RuntimeError(f"Unexpected batch status: {batch.status}")
+
+        finally:
+            # Clean up the temporary file
+            import os
+            if os.path.exists(batch_file_path):
+                os.remove(batch_file_path)
+
+    def cache_repr(self):
+        """Return a string representation of this engine for caching purposes."""
+        return self._cache_repr
+
+def _conform_to_openai_prompt_roles(prompts: list[Dict]) -> list[Dict]:
+    """Convert a dialog to a JSON-serialized prompt string.
+
+    Converts DialogElement objects to plain dicts and, for the native
+    OpenAI API (non-vLLM), renames the "system" role to "developer"
+    per OpenAI's message role conventions.
+
+    Sources:
+    1) https://platform.openai.com/docs/guides/prompt-engineering#message-roles-and-instruction-following
+    2) https://model-spec.openai.com/2025-02-12.html#definitions
+
+    Args:
+        dialog: List of DialogElements or message dicts with "role" and "content" keys.
+
+    Returns:
+        JSON-serialized prompt string consumable by ``run_inference``.
+    """
+    for p in prompts:
+        if p["role"] == "system":
+            p["role"] = "developer"
+    return prompts
+
+def _response_format_field(schema: Optional[str]) -> Dict:
+    """
+    Create response_format parameter for structured outputs.
+    Supported by: gpt-4o-mini, gpt-4o-2024-08-06 and later.
+    For older models like gpt-4, this will fail - use gpt-4o or gpt-4-turbo instead.
+    """
+    if not schema:
+        return {}
+    else:
+        schema_dict = json.loads(schema)
+        _enforce_additional_properties_false(schema_dict)
+        text = {
+            "format": {
+                "type": "json_schema",
+                "name": "ITM_Schema",
+                "schema": schema_dict,
+                "strict": True
+            }
+        }
+        return {"text": text}
+
+
+def _deserialize_prompts(prompts: Union[str, List[str]]) -> List[List[Dict]]:
+    """Normalize prompt input into a uniform list-of-message-lists format.
+
+    Handles three input shapes:
+        1. A single JSON string encoding one developer-user prompt pair. I.e. a DialogElement.
+        2. A list of JSON strings encoding multiple prompt pairs. I.e. A Dialog with a multiple DialogElements.
+        3. A single JSON string wrapped in a length-1 list. I.e. A Dialog with a single DialogElement.
+
+    Args:
+        prompts: Raw prompt(s) as returned by ``dialog_to_prompt``.
+
+    Returns:
+        A list where each element is a deserialized message list
+        (list of role/content dicts).
+
+    Raises:
+        AssertionError: If ``prompts`` doesn't match any expected shape.
+        TypeError: If ``prompts`` has an entirely unexpected type.
+    """
+    is_single_json_string = isinstance(prompts, str)
+    is_multiple_json_strings = isinstance(prompts, list) and len(prompts) > 1 and all([isinstance(p,str) for p in prompts])
+    is_wrapped_single_json_string = isinstance(prompts, list) and len(prompts) == 1 and isinstance(prompts[0], str)
+
+    assert is_single_json_string or is_multiple_json_strings or is_wrapped_single_json_string
+
+    if is_single_json_string:
+        # Single developer-user prompt-pair; wrap it for uniformity
+        return [json.loads(prompts)]
+    elif is_multiple_json_strings or is_wrapped_single_json_string:
+        return [json.loads(p) for p in prompts]
+    else:
+        raise TypeError("Argument prompts had an unexpected type")
+
+
+def _enforce_additional_properties_false(schema: dict) -> dict:
+    """Recursively set additionalProperties: false on all object types.
+
+    OpenAI's strict structured output mode requires this on every object
+    in the schema. Schemas defined for local outlines inference often omit
+    it, so we normalize here rather than patching each template.
+    """
+    if isinstance(schema, dict):
+        if schema.get("type") == "object":
+            schema["additionalProperties"] = False
+        for value in schema.values():
+            if isinstance(value, dict):
+                _enforce_additional_properties_false(value)
+            elif isinstance(value, list):
+                for item in value:
+                    if isinstance(item, dict):
+                        _enforce_additional_properties_false(item)
+    return schema
+
+
+def _extract_response_content(response_data: dict, has_schema: bool) -> Optional[Dict]:
+    """
+    Extract and parse content from a response object.
+
+    Args:
+        response_data: The response data dictionary
+        has_schema: Whether structured output was requested
+
+    Returns:
+        Parsed content dictionary or None
+    """
+    output = response_data.get('output', [])
+    if not output:
+        return None
+
+    # Find the message output (not the reasoning)
+    message_output = None
+    for output_item in output:
+        if isinstance(output_item, dict) and output_item.get('type') == 'message':
+            message_output = output_item
+            break
+
+    if not message_output or not message_output.get('content'):
+        return None
+
+    # Get the text from the first content item
+    first_content = message_output['content'][0]
+    text_content = first_content.get('text')
+
+    if text_content:
+        if has_schema:
+            # Parse as JSON for structured outputs
+            return json.loads(text_content)
+        else:
+            # Return as plain text for unstructured outputs
+            return {"response": text_content}
\ No newline at end of file
diff --git a/align_system/configs/experiment/openai_api/baseline.yaml b/align_system/configs/experiment/openai_api/baseline.yaml
new file mode 100644
index 00000000..c1534afa
--- /dev/null
+++ b/align_system/configs/experiment/openai_api/baseline.yaml
@@ -0,0 +1,36 @@
+# @package _global_
+defaults:
+  - override /adm: pipeline_baseline
+  - override /interface: ta3
+  - override /inference_engine@adm.structured_inference_engine: openai_gpt5
+
+interface:
+  session_type: adept
+  training_session: full
+  username: "testrun-pipeline_baseline"
+  domain: "p2triage"
+
+adm:
+  step_definitions:
+    outlines_baseline:
+      scenario_description_template:
+        _target_: align_system.prompt_engineering.outlines_prompts.Phase2ScenarioDescription
+      prompt_template:
+        _target_: align_system.prompt_engineering.outlines_prompts.Phase2BaselinePrompt
+
+      enable_caching: true
+
+  instance:
+    steps:
+    # Reference the step instances we want to use in order
+    - ${ref:adm.step_definitions.format_choices}
+    - ${ref:adm.step_definitions.outlines_baseline}
+    # - ${ref:adm.step_definitions.action_parameter_completion}
+    - ${ref:adm.step_definitions.ensure_chosen_action}
+    - ${ref:adm.step_definitions.populate_choice_info}
+
+driver:
+  apply_action_filtering: false
+
+force_determinism: true
+align_to_target: false
\ No newline at end of file
diff --git a/align_system/configs/experiment/openai_api/comparative_regression.yaml b/align_system/configs/experiment/openai_api/comparative_regression.yaml
new file mode 100644
index 00000000..5be48464
--- /dev/null
+++ b/align_system/configs/experiment/openai_api/comparative_regression.yaml
@@ -0,0 +1,34 @@
+# @package _global_
+defaults:
+  - override /adm: phase2_pipeline_fewshot_comparative_regression
+  - override /interface: ta3
+  - override /adm_component/alignment@adm.step_definitions.scalar_alignment: random_effects_tuple
+  - override /inference_engine@adm.structured_inference_engine: openai_gpt5
+
+interface:
+  session_type: adept
+  training_session: full
+  username: "testrun-pipeline_fewshot_comp_reg_loo"
+  domain: "p2triage"
+
+adm:
+  step_definitions:
+    regression_icl:
+      icl_generator_partial:
+        incontext_settings:
+          number: 20
+          leave_one_out_strategy: 'scenario_description' # LOO - Remove for eval
+          datasets:
+            medical: /data/shared/samba/phase2_icl/Feb2026-MU-train_20251218.json
+            affiliation: /data/shared/samba/phase2_icl/Feb2026-AF-train_20251218.json
+            merit: /data/shared/samba/phase2_icl/Feb2026-MF-train_20251218.json
+            personal_safety: /data/shared/samba/phase2_icl/Feb2026-PS-train_20251218.json
+            search: /data/shared/samba/phase2_icl/Feb2026-SS-train_20251218.json
+    comparative_regression:
+      enable_caching: true
+
+driver:
+  apply_action_filtering: false
+
+force_determinism: true
+align_to_target: true
diff --git a/align_system/configs/experiment/openai_api/direct_regression_test.yaml b/align_system/configs/experiment/openai_api/direct_regression_test.yaml
new file mode 100644
index 00000000..f610e5ad
--- /dev/null
+++ b/align_system/configs/experiment/openai_api/direct_regression_test.yaml
@@ -0,0 +1,17 @@
+# @package _global_
+defaults:
+  - /alignment_target: "june2025/ADEPT-June2025-affiliation-1.0.yaml"
+  - override /adm: phase2_pipeline_direct_regression
+  - override /adm_component/alignment@adm.step_definitions.scalar_alignment: medical_urgency_weighted_scalar
+  - override /inference_engine@adm.structured_inference_engine: openai_gpt5
+  - override /interface: input_output_file
+
+interface:
+  state_hydration_domain: "p2triage"
+  input_output_filepath: ${test_data_dir}/July2025-AF-train_20250804_timing_subsample.json
+
+driver:
+  apply_action_filtering: false
+
+force_determinism: true
+align_to_target: true
\ No newline at end of file
diff --git a/align_system/configs/experiment/openai_api/full_train_run.yaml b/align_system/configs/experiment/openai_api/full_train_run.yaml
new file mode 100644
index 00000000..e9557f7c
--- /dev/null
+++ b/align_system/configs/experiment/openai_api/full_train_run.yaml
@@ -0,0 +1,23 @@
+# @package _global_
+defaults:
+  - override /adm: phase2_pipeline_direct_regression
+  - override /interface: ta3
+  - override /adm_component/alignment@adm.step_definitions.scalar_alignment: random_effects_tuple
+  - override /inference_engine@adm.structured_inference_engine: openai_gpt5
+
+interface:
+  session_type: adept
+  training_session: full
+  username: "testrun-pipeline_direct"
+  domain: "p2triage"
+
+adm:
+  step_definitions:
+    direct_regression:
+      enable_caching: true
+
+driver:
+  apply_action_filtering: false
+
+force_determinism: true
+align_to_target: true
\ No newline at end of file
diff --git a/align_system/configs/inference_engine/openai_gpt4.yaml b/align_system/configs/inference_engine/openai_gpt4.yaml
new file mode 100644
index 00000000..213d6737
--- /dev/null
+++ b/align_system/configs/inference_engine/openai_gpt4.yaml
@@ -0,0 +1,17 @@
+_target_: align_system.algorithms.openai_inference_engine.OpenAIInferenceEngine
+
+# https://github.com/openai/openai-python/blob/main/src/openai/_client.py#L99
+model_name: gpt-4o
+temperature: 0.7
+top_p: 0.9
+max_tokens: 4096
+
+# Optional kwargs
+base_url: null       # Set to null for OpenAI cloud
+api_key: null        # Reads from OPENAI_API_KEY env var if null
+organization: null   # Reads from OPENAI_ORG_ID  env var if null
+project: null        # Reads from OPENAI_PROJECT_ID  env var if null
+webhook_secret: null # Reads from OPENAI_WEBHOOK_SECRET  env var if null
+timeout: "NOT_GIVEN"
+# Optional unstable kwargs
+_strict_response_validation: True
\ No newline at end of file
diff --git a/align_system/configs/inference_engine/openai_gpt5.yaml b/align_system/configs/inference_engine/openai_gpt5.yaml
new file mode 100644
index 00000000..bfe45a96
--- /dev/null
+++ b/align_system/configs/inference_engine/openai_gpt5.yaml
@@ -0,0 +1,14 @@
+_target_: align_system.algorithms.openai_inference_engine.OpenAIInferenceEngine
+
+# https://github.com/openai/openai-python/blob/main/src/openai/_client.py#L99
+model_name: gpt-5.2
+temperature: 0.7
+top_p: 0.9
+max_tokens: 4096
+
+# Optional kwargs
+base_url: null       # Set to null for OpenAI cloud
+api_key: null        # Reads from OPENAI_API_KEY env var if null
+timeout: "NOT_GIVEN"
+# Optional unstable kwargs
+_strict_response_validation: True
\ No newline at end of file
diff --git a/align_system/configs/inference_engine/vllm_openai_llama3.yaml b/align_system/configs/inference_engine/vllm_openai_llama3.yaml
new file mode 100644
index 00000000..4b8ac8c7
--- /dev/null
+++ b/align_system/configs/inference_engine/vllm_openai_llama3.yaml
@@ -0,0 +1,7 @@
+_target_: align_system.algorithms.openai_inference_engine.OpenAIInferenceEngine
+
+model_name: meta-llama/Llama-3.1-8B-Instruct
+base_url: http://localhost:8000/v1
+temperature: 0.3
+top_p: 0.9
+max_tokens: 4096
\ No newline at end of file
diff --git a/align_system/prompt_engineering/outlines_prompts.py b/align_system/prompt_engineering/outlines_prompts.py
index 0e87f6a2..36a2cb57 100644
--- a/align_system/prompt_engineering/outlines_prompts.py
+++ b/align_system/prompt_engineering/outlines_prompts.py
@@ -1480,7 +1480,18 @@ def __call__(self, character, scenario_state):
         threat_unstructured = scenario_state['threat_state']['unstructured']
         char_unstructured = character['unstructured']
 
-        if m := re.match(f'{threat_unstructured}(.+){char_unstructured}', full_state_unstructured.replace("\n", " ")):
+        pattern = "{}(.+?){}".format(
+            threat_unstructured.replace("\n", " "),
+            char_unstructured.replace("\n", " "))
+
+        if m := re.match(pattern, full_state_unstructured.replace("\n", " ")):
             setup = m.group(1).strip()
+        else:
+            # FIXME: This case is needed specifically for
+            # multi-attribute targets (and single attribute scenarios)
+            # where we may need to run regression for Personal Safety
+            # on an Affiliation scenario (where the text structure is
+            # a bit different)
+            return f"  - {char_unstructured}"
 
         return f"{setup}\n  - {char_unstructured}"
diff --git a/poetry.lock b/poetry.lock
index 0729c9eb..290f1fc2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,171 +1,282 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
-version = "2.1.0"
+version = "2.3.1"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
-    {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
+    {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"},
+    {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"},
 ]
 
 [[package]]
 name = "accelerate"
-version = "1.1.1"
+version = "1.10.1"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
-    {file = "accelerate-1.1.1-py3-none-any.whl", hash = "sha256:61edd81762131b8d4bede008643fa1e1f3bf59bec710ebda9771443e24feae02"},
-    {file = "accelerate-1.1.1.tar.gz", hash = "sha256:0d39dfac557052bc735eb2703a0e87742879e1e40b88af8a2f9a93233d4cd7db"},
+    {file = "accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11"},
+    {file = "accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8"},
 ]
 
 [package.dependencies]
-huggingface-hub = ">=0.21.0"
+huggingface_hub = ">=0.21.0"
 numpy = ">=1.17,<3.0.0"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
 safetensors = ">=0.4.3"
-torch = ">=1.10.0"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "swanlab", "tensorboard", "trackio", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
+[[package]]
+name = "accelerate"
+version = "1.12.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.10.0"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
+files = [
+    {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"},
+    {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.21.0"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
 
 [package.extras]
 deepspeed = ["deepspeed"]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.6.4,<0.7.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.6.4,<0.7.0)"]
+dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (==0.13.1)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["ruff (==0.13.1)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
 test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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-testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "swanlab[dashboard]", "tensorboard", "trackio", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
+]
 
 [[package]]
 name = "aiohttp"
-version = "3.9.5"
+version = "3.13.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
-aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+aiohappyeyeballs = ">=2.5.0"
+aiosignal = ">=1.4.0"
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+    {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
+
+[[package]]
+name = "aiostream"
+version = "0.5.2"
+description = "Generator-based operators for asynchronous iteration"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\""
+files = [
+    {file = "aiostream-0.5.2-py3-none-any.whl", hash = "sha256:054660370be9d37f6fe3ece3851009240416bd082e469fd90cc8673d3818cf71"},
+    {file = "aiostream-0.5.2.tar.gz", hash = "sha256:b71b519a2d66c38f0872403ab86417955b77352f08d9ad02ad46fc3926b389f4"},
+]
+
+[package.dependencies]
+typing-extensions = "*"
 
 [[package]]
 name = "airportsdata"
-version = "20250224"
+version = "20250909"
 description = "Extensive database of location and timezone data for nearly every airport and landing strip in the world."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "airportsdata-20250224-py3-none-any.whl", hash = "sha256:006128bca2cc1983dc5ed4fb1227e8df2289b5e95b8ab30d9bdd4eb7c6d2160d"},
-    {file = "airportsdata-20250224.tar.gz", hash = "sha256:7f4538a613504444a13149be701aac5f9599b86da476d26b46aa24fd54714eda"},
+    {file = "airportsdata-20250909-py3-none-any.whl", hash = "sha256:ce7dc6e1485afe3915e708212c7024ad158470c1c934e6a6cb217cf28b798ac7"},
+    {file = "airportsdata-20250909.tar.gz", hash = "sha256:f39974fe1101817ced4ccf7c6ed336408469e5e778395d0a3e7a5112ec298f90"},
 ]
 
 [[package]]
@@ -174,7 +285,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
+groups = ["main", "openai"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -197,7 +308,7 @@ version = "3.7.1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
+groups = ["main", "openai"]
 files = [
     {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
     {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
@@ -228,38 +339,32 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "25.4.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
-    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+    {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"},
+    {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"},
 ]
 
-[package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6) ; platform_python_implementation == \"CPython\" and python_version >= \"3.8\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.8\""]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
-
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.3"
+version = "4.14.3"
 description = "Screen-scraping library"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
 groups = ["main"]
+markers = "python_version == \"3.12\""
 files = [
-    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
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+    {file = "beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb"},
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 ]
 
 [package.dependencies]
-soupsieve = ">1.2"
+soupsieve = ">=1.6.1"
+typing-extensions = ">=4.0.0"
 
 [package.extras]
 cchardet = ["cchardet"]
@@ -292,138 +397,166 @@ transformers = ">=3.0.0"
 
 [[package]]
 name = "certifi"
-version = "2024.6.2"
+version = "2026.1.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.6"
-groups = ["main"]
+python-versions = ">=3.7"
+groups = ["main", "openai"]
 files = [
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+    {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"},
+    {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"},
 ]
 
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-name = "cfgv"
-version = "3.4.0"
-description = "Validate configuration and produce human readable error messages."
+name = "charset-normalizer"
+version = "3.4.4"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
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+python-versions = ">=3.7"
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+description = "Composable command line interface toolkit"
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+
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+version = "8.3.1"
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 [package.dependencies]
@@ -431,14 +564,14 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cloudpickle"
-version = "3.0.0"
+version = "3.1.2"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = false
 python-versions = ">=3.8"
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 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main"]
+groups = ["main", "openai"]
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+numpy = ">=1.25"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.17.0)", "types-Pillow"]
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+test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "cycler"
@@ -536,14 +784,32 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.6"
+version = "0.5.14"
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+optional = false
+python-versions = ">=3.7,<3.13"
+groups = ["main"]
+markers = "python_version <= \"3.11\""
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+[package.dependencies]
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+typing-inspect = ">=0.4.0,<1"
+
+[[package]]
+name = "dataclasses-json"
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 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
 groups = ["main"]
+markers = "python_version == \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
@@ -552,21 +818,20 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
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-version = "3.3.2"
+version = "3.6.0"
 description = "HuggingFace community-driven open-source library of datasets"
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 python-versions = ">=3.9.0"
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 dill = ">=0.3.0,<0.3.9"
 filelock = "*"
-fsspec = {version = ">=2023.1.0,<=2024.12.0", extras = ["http"]}
+fsspec = {version = ">=2023.1.0,<=2025.3.0", extras = ["http"]}
 huggingface-hub = ">=0.24.0"
 multiprocess = "<0.70.17"
 numpy = ">=1.17"
@@ -579,20 +844,40 @@ tqdm = ">=4.66.3"
 xxhash = "*"
 
 [package.extras]
-audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""]
+audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
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 vision = ["Pillow (>=9.4.0)"]
 
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+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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+[package.extras]
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+
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 version = "0.3.8"
@@ -621,25 +906,13 @@ files = [
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 [[package]]
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 version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
+groups = ["main", "openai"]
 files = [
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+
 [package.extras]
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 ssh = ["paramiko"]
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 tqdm = ["tqdm"]
 
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 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
+groups = ["main", "openai"]
 files = [
-    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
-    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
+    {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
+    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
 ]
 
 [package.dependencies]
@@ -1022,29 +1557,30 @@ anyio = "*"
 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
 brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.29.3"
+version = "0.36.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
 files = [
-    {file = "huggingface_hub-0.29.3-py3-none-any.whl", hash = "sha256:0b25710932ac649c08cdbefa6c6ccb8e88eef82927cacdb048efb726429453aa"},
-    {file = "huggingface_hub-0.29.3.tar.gz", hash = "sha256:64519a25716e0ba382ba2d3fb3ca082e7c7eb4a2fc634d200e8380006e0760e5"},
+    {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"},
+    {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"},
 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1052,16 +1588,19 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
+hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
-quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
+mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
+oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -1082,68 +1621,44 @@ antlr4-python3-runtime = "==4.9.*"
 omegaconf = ">=2.2,<2.4"
 packaging = "*"
 
-[[package]]
-name = "identify"
-version = "2.6.9"
-description = "File identification library for Python"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "identify-2.6.9-py2.py3-none-any.whl", hash = "sha256:c98b4322da415a8e5a70ff6e51fbc2d2932c015532d77e9f8537b4ba7813b150"},
-    {file = "identify-2.6.9.tar.gz", hash = "sha256:d40dfe3142a1421d8518e3d3985ef5ac42890683e32306ad614a29490abeb6bf"},
-]
-
-[package.extras]
-license = ["ukkonen"]
-
 [[package]]
 name = "idna"
-version = "3.7"
+version = "3.11"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
-groups = ["main"]
+python-versions = ">=3.8"
+groups = ["main", "openai"]
 files = [
-    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
-    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
+    {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
+    {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "importlib-resources"
-version = "6.4.0"
+version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.9\""
 files = [
-    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
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+    {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
+    {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy ; platform_python_implementation != \"PyPy\"", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
-
-[[package]]
-name = "intel-openmp"
-version = "2021.4.0"
-description = "Intel OpenMP* Runtime Library"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Windows\""
-files = [
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-]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "interegular"
@@ -1171,14 +1686,14 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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+    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
+    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
 ]
 
 [package.dependencies]
@@ -1187,16 +1702,128 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "jiter"
+version = "0.12.0"
+description = "Fast iterable JSON parser."
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "openai"]
+files = [
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 description = "Lightweight pipelining with Python functions"
 optional = false
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 [[package]]
@@ -1216,26 +1843,27 @@ jsonpointer = ">=1.9"
 
 [[package]]
 name = "jsonpointer"
-version = "2.4"
+version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
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-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
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-version = "4.22.0"
+version = "4.25.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
+markers = "python_version < \"3.11\""
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 [package.dependencies]
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 [package.extras]
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+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
+
+[[package]]
+name = "jsonschema"
+version = "4.26.0"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
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 ]
 
 [[package]]
@@ -1435,14 +2209,14 @@ requests = ">=2,<3"
 
 [[package]]
 name = "lark"
-version = "1.1.9"
+version = "1.3.1"
 description = "a modern parsing library"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]
@@ -1458,6 +2232,7 @@ description = "Interface between LLMs and your data"
 optional = false
 python-versions = "*"
 groups = ["main"]
+markers = "python_version == \"3.12\""
 files = [
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@@ -1480,6 +2255,42 @@ typing-extensions = ">=4.5.0"
 typing-inspect = ">=0.8.0"
 urllib3 = "<2"
 
+[[package]]
+name = "llama-index"
+version = "0.8.69.post2"
+description = "Interface between LLMs and your data"
+optional = false
+python-versions = ">=3.8.1,<3.12"
+groups = ["main"]
+markers = "python_version <= \"3.11\""
+files = [
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+deprecated = ">=1.2.9.3"
+fsspec = ">=2023.5.0"
+langchain = ">=0.0.303"
+nest-asyncio = ">=1.5.8,<2.0.0"
+nltk = ">=3.8.1,<4.0.0"
+numpy = "*"
+openai = ">=1.1.0"
+pandas = "*"
+SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
+tenacity = ">=8.2.0,<9.0.0"
+tiktoken = ">=0.3.3"
+typing-extensions = ">=4.5.0"
+typing-inspect = ">=0.8.0"
+urllib3 = "<2"
+
+[package.extras]
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+postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg-binary (>=3.1.12,<4.0.0)"]
+query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn (<1.3.0)", "spacy (>=3.7.1,<4.0.0)"]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -1487,6 +2298,7 @@ description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
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 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
+[[package]]
+name = "markdown-it-py"
+version = "4.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
+files = [
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+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins (>=0.5.0)"]
+profiling = ["gprof2dot"]
+rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
+
 [[package]]
 name = "markupsafe"
-version = "2.1.5"
+version = "3.0.3"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
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 [package.dependencies]
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 python-dateutil = ">=2.7"
 
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+
+[[package]]
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+[package.dependencies]
+typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "multiprocess"
 version = "0.70.16"
@@ -1826,14 +2824,14 @@ dill = ">=0.3.8"
 
 [[package]]
 name = "mypy-extensions"
-version = "1.0.0"
+version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
@@ -1855,6 +2853,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
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@@ -1867,16 +2866,40 @@ doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.
 extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
+[[package]]
+name = "networkx"
+version = "3.6.1"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = "!=3.14.1,>=3.11"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
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+]
+
+[package.extras]
+benchmarking = ["asv", "virtualenv"]
+default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
+developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
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+extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
+release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
+test-extras = ["pytest-mpl", "pytest-randomly"]
+
 [[package]]
 name = "nltk"
-version = "3.8.1"
+version = "3.9.2"
 description = "Natural Language Toolkit"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -1893,18 +2916,6 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
-[[package]]
-name = "nodeenv"
-version = "1.9.1"
-description = "Node.js virtual environment builder"
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main"]
-files = [
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-]
-
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -2013,14 +3024,15 @@ files = [
 
 [[package]]
 name = "nvidia-cudnn-cu11"
-version = "8.7.0.84"
+version = "9.1.0.70"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
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 ]
 
 [package.dependencies]
@@ -2091,14 +3103,14 @@ files = [
 
 [[package]]
 name = "nvidia-nccl-cu11"
-version = "2.20.5"
+version = "2.21.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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 ]
 
 [[package]]
@@ -2134,38 +3146,42 @@ PyYAML = ">=5.1.0"
 
 [[package]]
 name = "openai"
-version = "1.31.2"
+version = "2.15.0"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
-groups = ["main"]
+python-versions = ">=3.9"
+groups = ["main", "openai"]
 files = [
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 [package.dependencies]
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 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.10.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.11,<5"
 
 [package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<16)"]
+voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
 [[package]]
 name = "outlines"
-version = "0.2.1"
+version = "0.2.3"
 description = "Probabilistic Generative Model Programming"
 optional = false
 python-versions = "<3.13,>=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -2181,7 +3197,6 @@ lark = "*"
 nest_asyncio = "*"
 numpy = "*"
 outlines_core = "0.1.26"
-pre-commit = ">=4.0.1"
 pydantic = ">=2.0"
 referencing = "*"
 requests = "*"
@@ -2244,53 +3259,79 @@ test = ["accelerate", "asv", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "da
 
 [[package]]
 name = "packaging"
-version = "24.0"
+version = "25.0"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 [[package]]
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 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
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+python-versions = ">=3.9"
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@@ -2979,19 +4481,20 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
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 [[package]]
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 version = "2.7.0"
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 [[package]]
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 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
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+greenlet = {version = ">=1", optional = true, markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or extra == \"asyncio\""}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
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-aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
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-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
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+aioodbc = ["aioodbc", "greenlet (>=1)"]
+aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
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 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
 mssql-pyodbc = ["pyodbc"]
@@ -3553,7 +5337,7 @@ mysql-connector = ["mysql-connector-python"]
 oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
 postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
@@ -3581,49 +5365,37 @@ urllib3 = ">=1.15"
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+resolved_reference = "3a8abc9f8d0cb45819a2eb7bfab856914cf38de0"
 
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+version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
 optional = false
-python-versions = ">=3.8"
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 [package.dependencies]
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+mpmath = ">=1.1.0,<1.4"
 
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-name = "tbb"
-version = "2021.12.0"
-description = "Intel® oneAPI Threading Building Blocks (oneTBB)"
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 [[package]]
 name = "tenacity"
-version = "8.3.0"
+version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
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 [package.extras]
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 [[package]]
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-python-versions = ">=3.8"
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 ]
 
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 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
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-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 [package.dependencies]
@@ -3697,81 +5490,92 @@ blobfile = ["blobfile (>=2)"]
 
 [[package]]
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 description = ""
 optional = false
 python-versions = ">=3.9"
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@@ -3780,130 +5584,136 @@ reference = "pytorch"
 
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 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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-groups = ["main"]
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 [[package]]
@@ -3922,16 +5732,31 @@ files = [
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 typing-extensions = ">=3.7.4"
 
+[[package]]
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+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "openai"]
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+
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 [[package]]
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 [[package]]
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-description = "Virtual Python Environment builder"
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 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
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 [[package]]
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+version = "3.23.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
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 ]
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
 
 [metadata]
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 python-versions = ">=3.9,<3.13"
-content-hash = "5a469023bf886c3ba9aea5ae6e2594090465413a6395da2eabfb7550870c0c30"
+content-hash = "96fad3a340f833336d80a51ebe2b2863518ec547b2c9c67fc65eb42239cbd43e"
diff --git a/pyproject.toml b/pyproject.toml
index 0ffe0044..85896e57 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,43 +1,49 @@
-[tool.poetry]
+[project]
 name = "align-system"
 version = "0.5.9"
 description = ""
-authors = ["David Joy <10147749+dmjoy@users.noreply.github.com>"]
 readme = "README.md"
-packages = [{include = "align_system"}]
+requires-python = ">=3.11,<3.12"
+dependencies = [
+    "torch>=2.0.1",
+    "transformers>=4.49.0",
+    "llama-index>=0.8.21,<0.9",
+    "langchain>=0.0.308,<0.1",
+    "sentence-transformers>=2.2.2",
+    "accelerate>=0.26.0",
+    "pypdf>=3.15.5,<4",
+    "pycryptodome>=3.18.0,<4",
+    "einops>=0.6.1,<0.7",
+    "requests>=2.31.0",
+    "bert-score>=0.3.13,<0.4",
+    "rich>=13.6.0",
+    "rouge-score>=0.1.2,<0.2",
+    "swagger-client @ git+https://github.com/NextCenturyCorporation/itm-evaluation-client.git@0.5.2",
+    "hydra-core>=1.3.2,<2",
+    "outlines>=0.2.1,<0.3",
+    "setuptools>=70.1.1",
+    "sentencepiece>=0.2.0,<0.3",
+    "protobuf>=5.28.3,<6",
+    "datasets>=3.3.2,<4",
+    "ubelt==1.3.6",
+    "torchvision>=0.25.0",
+]
 
-[[tool.poetry.source]]
-name = "pytorch"
-url = "https://download.pytorch.org/whl/cu118"
-priority = "supplemental"
+[project.scripts]
+run_align_system = "align_system.cli.run_align_system:main"
 
-[tool.poetry.dependencies]
-python = ">=3.9,<3.13"
-torch = { version = "^2.0.1", source = "pytorch" }
-transformers = "^4.49.0"
-llama-index = "^0.8.21"
-langchain = "^0.0.308"
-sentence-transformers = "^2.2.2"
-accelerate = ">=0.26.0"
-pypdf = "^3.15.5"
-pycryptodome = "^3.18.0"
-einops = "^0.6.1"
-requests = "^2.31.0"
-bert-score = "^0.3.13"
-rich = "^13.6.0"
-rouge-score = "^0.1.2"
-swagger-client = {git = "https://github.com/NextCenturyCorporation/itm-evaluation-client.git", rev = "0.5.0"}
-hydra-core = "^1.3.2"
-outlines = "^0.2.1"
-setuptools = "^70.1.1"
-sentencepiece = "^0.2.0"
-protobuf = "^5.28.3"
-datasets = "^3.3.2"
-ubelt = "1.3.6"
+[dependency-groups]
+openai = [
+    "openai>=2.15.0,<3.0.0",
+    "httpx>=0.28.1,<0.29.0",
+]
 
-[tool.poetry.scripts]
-run_align_system = 'align_system.cli.run_align_system:main'
+[tool.uv]
+find-links = ["https://download.pytorch.org/whl/cu118"]
+
+[tool.hatch.metadata]
+allow-direct-references = true
 
 [build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 00000000..9da80d7a
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,2154 @@
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