Fix Async Stream Contexts

guardrails/llm_providers.py

@@ -218,6 +218,7 @@ def _invoke_llm(
             llm_response = cast(Iterator[str], response)
             return LLMResponse(
                 output="",
+                # FIXME: Why is this different from the async streaming implementation?
                 stream_output=llm_response,
             )
 
@@ -491,6 +492,7 @@ def _invoke_llm(self, *args, **kwargs) -> LLMResponse:
             llm_response = cast(Iterator[str], llm_response)
             return LLMResponse(
                 output="",
+                # FIXME: Why is this different from the async streaming implementation?
                 stream_output=llm_response,
             )
 
@@ -685,6 +687,8 @@ async def invoke_llm(
             # response = cast(AsyncIterator[str], response)
             return LLMResponse(
                 output="",
+                # FIXME: Why is this different from the synchronous streaming implementation?  ## noqa: E501
+                # This shouldn't be necessary: https://docs.litellm.ai/docs/completion/stream#async-streaming
                 async_stream_output=response.completion_stream,  # pyright: ignore[reportGeneralTypeIssues]
             )
 
@@ -842,6 +846,8 @@ async def invoke_llm(self, *args, **kwargs) -> LLMResponse:
             # the callable returns a generator object
             return LLMResponse(
                 output="",
+                # FIXME: Why is this different from the synchronous streaming implementation?  ## noqa: E501
+                # This shouldn't be necessary: https://docs.litellm.ai/docs/completion/stream#async-streaming
                 async_stream_output=output.completion_stream,
             )
 

guardrails/run/stream_runner.py

@@ -17,6 +17,7 @@
 from guardrails.actions.reask import ReAsk, SkeletonReAsk
 from guardrails.constants import pass_status
 from guardrails.telemetry import trace_stream_step
+from guardrails.utils.safe_get import safe_get
 
 
 class StreamRunner(Runner):
@@ -240,35 +241,74 @@ def prepare_chunk_generator(stream) -> Iterator[Tuple[Any, bool]]:
     def is_last_chunk(self, chunk: Any, api: Union[PromptCallableBase, None]) -> bool:
         """Detect if chunk is final chunk."""
         try:
+            if (
+                not chunk.choices or len(chunk.choices) == 0
+            ) and chunk.usage is not None:
+                # This is the last extra chunk for usage statistics
+                return True
             finished = chunk.choices[0].finish_reason
             return finished is not None
         except (AttributeError, TypeError):
             return False
 
     def get_chunk_text(self, chunk: Any, api: Union[PromptCallableBase, None]) -> str:
-        """Get the text from a chunk."""
-        chunk_text = ""
-        try:
-            finished = chunk.choices[0].finish_reason
-            content = chunk.choices[0].delta.content
-            if not finished and content:
-                chunk_text = content
-        except Exception:
-            try:
-                finished = chunk.choices[0].finish_reason
-                content = chunk.choices[0].text
-                if not finished and content:
-                    chunk_text = content
-            except Exception:
-                try:
-                    chunk_text = chunk
-                except Exception as e:
-                    raise ValueError(
-                        f"Error getting chunk from stream: {e}. "
-                        "Non-OpenAI API callables expected to return "
-                        "a generator of strings."
-                    ) from e
-        return chunk_text
+        """Get the text from a chunk.
+
+        chunk is assumed to be an Iterator of either string or
+        ChatCompletionChunk
+
+        These types are not properly enforced upstream so we must use
+        reflection
+        """
+        # Safeguard against None
+        # which can happen when the user provides
+        # custom LLM wrappers
+        if not chunk:
+            return ""
+        elif isinstance(chunk, str):
+            # If chunk is a string, return it
+            return chunk
+        elif hasattr(chunk, "choices") and hasattr(chunk.choices, "__iter__"):
+            # If chunk is a ChatCompletionChunk, return the text
+            # from the first choice
+            chunk_text = ""
+            first_choice = safe_get(chunk.choices, 0)
+            if not first_choice:
+                return chunk_text
+
+            if hasattr(first_choice, "delta") and hasattr(
+                first_choice.delta, "content"
+            ):
+                chunk_text = first_choice.delta.content
+            elif hasattr(first_choice, "text"):
+                chunk_text = first_choice.text
+            else:
+                # If chunk is not a string or ChatCompletionChunk, raise an error
+                raise ValueError(
+                    "chunk.choices[0] does not have "
+                    "delta.content or text. "
+                    "Non-OpenAI compliant callables must return "
+                    "a generator of strings."
+                )
+
+            if not chunk_text:
+                # If chunk_text is empty, return an empty string
+                return ""
+            elif not isinstance(chunk_text, str):
+                # If chunk_text is not a string, raise an error
+                raise ValueError(
+                    "Chunk text is not a string. "
+                    "Non-OpenAI compliant callables must return "
+                    "a generator of strings."
+                )
+            return chunk_text
+        else:
+            # If chunk is not a string or ChatCompletionChunk, raise an error
+            raise ValueError(
+                "Chunk is not a string or ChatCompletionChunk. "
+                "Non-OpenAI compliant callables must return "
+                "a generator of strings."
+            )
 
     def parse(
         self, output: str, output_schema: Dict[str, Any], *, verified: set, **kwargs

guardrails/utils/safe_get.py

@@ -12,9 +12,12 @@ def safe_get_with_brackets(
         return value
     except Exception as e:
         logger.debug(
-            f"Failed to get value for key: {key} out of container: {container}!"
+            f"""
+            Failed to get value for key: {key} out of container: {container}.
+            Reason: {e}
+            Fallbacking to default value...
+            """
         )
-        logger.debug(e)
         return default
 
 

guardrails/validator_base.py

@@ -4,7 +4,7 @@
 #   - [ ] Remove validator_base.py in 0.6.x
 
 import asyncio
-import contextlib
+from contextvars import Context, ContextVar
 from functools import partial
 import inspect
 import logging
@@ -67,10 +67,8 @@ def split_sentence_word_tokenizers_jl_separator(
     # we check for a . to avoid wastefully calling the tokenizer
 
     # check at least 3 characters have been accumulated before splitting
-    is_minimum_length = False
-    with contextlib.suppress(IndexError):
-        chunk[2]
-        is_minimum_length = True
+    third_chunk = safe_get(chunk, 2)
+    is_minimum_length = third_chunk is not None
 
     # check for potential line endings, which is what split_sentences does
     chunk_with_potential_line_endings, count = re.subn(
@@ -292,7 +290,14 @@ def _chunking_function(self, chunk: str) -> List[str]:
         return split_sentence_word_tokenizers_jl_separator(chunk)
 
     def validate_stream(
-        self, chunk: Any, metadata: Dict[str, Any], **kwargs
+        self,
+        chunk: Any,
+        metadata: Dict[str, Any],
+        *,
+        property_path: Optional[str] = "$",
+        context_vars: Optional[ContextVar[Dict[str, ContextVar[List[str]]]]] = None,
+        context: Optional[Context] = None,
+        **kwargs,
     ) -> Optional[ValidationResult]:
         """Validates a chunk emitted by an LLM. If the LLM chunk is smaller
         than the validator's chunking strategy, it will be accumulated until it
@@ -307,8 +312,20 @@ def validate_stream(
         result.
         """
         # combine accumulated chunks and new [:-1]chunk
-        self.accumulated_chunks.append(chunk)
-        accumulated_text = "".join(self.accumulated_chunks)
+        accumulated_chunks = self.accumulated_chunks
+
+        # if context_vars is passed, use it to get the accumulated chunks
+        context_var: Optional[ContextVar[List[str]]] = None
+        ctx_var_map: Optional[Dict[str, ContextVar[List[str]]]] = None
+        context_key = f"{property_path}_{self.rail_alias}"
+        if context_vars and context:
+            ctx_var_map = context.run(context_vars.get)
+            context_var = ctx_var_map.get(context_key)
+            if context_var:
+                accumulated_chunks = context.run(context_var.get)
+
+        accumulated_chunks.append(chunk)
+        accumulated_text = "".join(accumulated_chunks)
         # check if enough chunks have accumulated for validation
         split_contents = self._chunking_function(accumulated_text)
 
@@ -318,9 +335,20 @@ def validate_stream(
             split_contents = [accumulated_text, ""]
         # if no chunks are returned, we haven't accumulated enough
         if len(split_contents) == 0:
+            if context_vars and context_var and context and ctx_var_map:
+                context.run(context_var.set, accumulated_chunks)
+                ctx_var_map[context_key] = context_var
+                context.run(context_vars.set, ctx_var_map)
+            else:
+                self.accumulated_chunks = accumulated_chunks
             return None
         [chunk_to_validate, new_accumulated_chunks] = split_contents
-        self.accumulated_chunks = [new_accumulated_chunks]
+        if context_vars and context_var and context and ctx_var_map:
+            context.run(context_var.set, [new_accumulated_chunks])
+            ctx_var_map[context_key] = context_var
+            context.run(context_vars.set, ctx_var_map)
+        else:
+            self.accumulated_chunks = [new_accumulated_chunks]
         # exclude last chunk, because it may not be a complete chunk
         validation_result = self.validate(chunk_to_validate, metadata)
         # if validate doesn't set validated chunk, we set it

guardrails/validator_service/async_validator_service.py

@@ -84,6 +84,8 @@ async def run_validator(
         metadata: Dict,
         absolute_property_path: str,
         stream: Optional[bool] = False,
+        *,
+        reference_path: Optional[str] = None,
         **kwargs,
     ) -> ValidatorRun:
         validator_logs = self.before_run_validator(
@@ -96,6 +98,7 @@ async def run_validator(
             metadata,
             stream,
             validation_session_id=iteration.id,
+            reference_path=reference_path,
             **kwargs,
         )
 
@@ -111,6 +114,7 @@ async def run_validator(
                     result.metadata or {},
                     stream,
                     validation_session_id=iteration.id,
+                    reference_path=reference_path,
                     **kwargs,
                 )
             value = self.perform_correction(
@@ -160,6 +164,7 @@ async def run_validators(
                     metadata,
                     absolute_property_path,
                     stream=stream,
+                    reference_property_path=reference_property_path,
                     **kwargs,
                 )
             )
@@ -277,6 +282,7 @@ async def async_partial_validate(
                     metadata,
                     absolute_path,
                     stream=stream,
+                    reference_path=reference_path,
                     **kwargs,
                 )
             )

pyproject.toml

@@ -162,6 +162,7 @@ authorized_licenses = [
     "python software foundation",
     "python software foundation license",
     "zpl 2.1",
+    "mit and python-2.0"
 ]
 unauthorized_licenses = [
     "gpl v3",

tests/unit_tests/validator_service/test_async_validator_service.py

@@ -503,7 +503,12 @@ async def test_pass_result(self, mocker):
 
         assert mock_run_validator_async.call_count == 1
         mock_run_validator_async.assert_called_once_with(
-            validator, "value", {}, False, validation_session_id=iteration.id
+            validator,
+            "value",
+            {},
+            False,
+            validation_session_id=iteration.id,
+            reference_path=None,
         )
 
         assert mock_after_run_validator.call_count == 1
@@ -562,7 +567,12 @@ async def test_pass_result_with_override(self, mocker):
 
         assert mock_run_validator_async.call_count == 1
         mock_run_validator_async.assert_called_once_with(
-            validator, "value", {}, False, validation_session_id=iteration.id
+            validator,
+            "value",
+            {},
+            False,
+            validation_session_id=iteration.id,
+            reference_path=None,
         )
 
         assert mock_after_run_validator.call_count == 1
@@ -625,7 +635,12 @@ async def test_fail_result(self, mocker):
 
         assert mock_run_validator_async.call_count == 1
         mock_run_validator_async.assert_called_once_with(
-            validator, "value", {}, False, validation_session_id=iteration.id
+            validator,
+            "value",
+            {},
+            False,
+            validation_session_id=iteration.id,
+            reference_path=None,
         )
 
         assert mock_after_run_validator.call_count == 1
@@ -699,13 +714,21 @@ async def test_fail_result_with_fix_reask(self, mocker):
         assert mock_run_validator_async.call_count == 2
         mock_run_validator_async.assert_has_calls(
             [
-                call(validator, "value", {}, False, validation_session_id=iteration.id),
+                call(
+                    validator,
+                    "value",
+                    {},
+                    False,
+                    validation_session_id=iteration.id,
+                    reference_path=None,
+                ),
                 call(
                     validator,
                     "fixed-value",
                     {},
                     False,
                     validation_session_id=iteration.id,
+                    reference_path=None,
                 ),
             ]
         )