Merge branch 'develop' into cache-per-step

pyproject.toml

@@ -84,7 +84,7 @@ llama-cpp = ["llama-cpp-python >= 0.2.0"]
 mistralai = ["mistralai >= 1.0.0"]
 ollama = ["ollama >= 0.1.7"]
 openai = ["openai >= 1.0.0"]
-outlines = ["outlines >= 0.0.40"]
+outlines = ["outlines >= 0.0.40", "numba >= 0.54.0"]
 ray = ["ray[default] >= 2.31.0"]
 vertexai = ["google-cloud-aiplatform >= 1.38.0"]
 vllm = [
@@ -99,7 +99,7 @@ faiss-gpu = ["faiss-gpu >= 1.7.2"]
 text-clustering = [
     "umap-learn >= 0.5.6",
     "scikit-learn >= 1.4.1",
-    "matplotlib >= 3.8.3"  # For the figure (even though it's optional)
+    "matplotlib >= 3.8.3",   # For the figure (even though it's optional)
 ]
 
 # minhash

scripts/install_dependencies.sh

@@ -9,10 +9,9 @@ python -m pip install uv
 uv pip install --system -e ".[anthropic,argilla,cohere,groq,hf-inference-endpoints,hf-transformers,litellm,llama-cpp,ollama,openai,outlines,vertexai,mistralai,instructor,sentence-transformers,faiss-cpu,minhash,text-clustering]"
 
 if [ "${python_version}" != "(3, 12)" ]; then
-  uv pip install --system -e .[ray]
+    uv pip install --system -e .[ray]
 fi
 
 ./scripts/install_cpu_vllm.sh
-uv pip install --system git+https://github.com/argilla-io/LLM-Blender.git
 
 uv pip install --system -e ".[dev,tests]"

src/distilabel/steps/tasks/argilla_labeller.py

@@ -382,10 +382,13 @@ def format_input(
         """Format the input into a chat message.
 
         Args:
-            input (Dict[str, Union[Dict[str, Any], Record, TextField, MultiLabelQuestion, LabelQuestion, RatingQuestion, TextQuestion]]): The input to format.
+            input: The input to format.
 
         Returns:
-            ChatType: The formatted chat message.
+            The formatted chat message.
+
+        Raises:
+            ValueError: If question or fields are not provided.
         """
         input_keys = list(self.inputs.keys())
         record = input[input_keys[0]]
@@ -394,6 +397,11 @@ def format_input(
         examples = input.get(input_keys[3], self.example_records)
         guidelines = input.get(input_keys[4], self.guidelines)
 
+        if question is None:
+            raise ValueError("Question must be provided.")
+        if fields is None or any(field is None for field in fields):
+            raise ValueError("Fields must be provided.")
+
         record = record.to_dict() if not isinstance(record, dict) else record
         question = question.serialize() if not isinstance(question, dict) else question
         fields = [
@@ -416,6 +424,7 @@ def format_input(
             if examples
             else False
         )
+
         prompt = self._template.render(
             fields=formatted_fields,
             question=formatted_question,