diff --git a/libs/ibm/langchain_ibm/chat_models.py b/libs/ibm/langchain_ibm/chat_models.py index cc54721..bc27dbf 100644 --- a/libs/ibm/langchain_ibm/chat_models.py +++ b/libs/ibm/langchain_ibm/chat_models.py @@ -669,18 +669,13 @@ def _stream( message_chunk = _convert_delta_to_message_chunk(choice, default_chunk_class) generation_info = {} - if finish_reason := choice.get("stop_reason"): + if (finish_reason := choice.get("stop_reason")) != "not_finished": generation_info["finish_reason"] = finish_reason - logprobs = choice.get("logprobs") - if logprobs: - generation_info["logprobs"] = logprobs chunk = ChatGenerationChunk( message=message_chunk, generation_info=generation_info or None ) if run_manager: - run_manager.on_llm_new_token( - chunk.content, chunk=chunk, logprobs=logprobs - ) + run_manager.on_llm_new_token(chunk.text, chunk=chunk) yield chunk @@ -751,8 +746,6 @@ def _create_chat_result(self, response: Union[dict]) -> ChatResult: for res in response["results"]: message = _convert_dict_to_message(res, call_id) generation_info = dict(finish_reason=res.get("stop_reason")) - if "logprobs" in res: - generation_info["logprobs"] = res["logprobs"] if "generated_token_count" in res: sum_of_total_generated_tokens += res["generated_token_count"] if "input_token_count" in res: diff --git a/libs/ibm/langchain_ibm/llms.py b/libs/ibm/langchain_ibm/llms.py index 15b3aeb..91b7653 100644 --- a/libs/ibm/langchain_ibm/llms.py +++ b/libs/ibm/langchain_ibm/llms.py @@ -355,10 +355,15 @@ def _stream_response_to_generation_chunk( """Convert a stream response to a generation chunk.""" if not stream_response["results"]: return GenerationChunk(text="") + + finish_reason = stream_response["results"][0].get("stop_reason", None) + return GenerationChunk( text=stream_response["results"][0]["generated_text"], generation_info=dict( - finish_reason=stream_response["results"][0].get("stop_reason", None), + finish_reason=None + if finish_reason == "not_finished" + else finish_reason, llm_output={ "model_id": self.model_id, "deployment_id": self.deployment_id, diff --git a/libs/ibm/poetry.lock b/libs/ibm/poetry.lock index 5a0b34f..a91931e 100644 --- a/libs/ibm/poetry.lock +++ b/libs/ibm/poetry.lock @@ -11,6 +11,28 @@ files = [ {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] +[[package]] +name = "anyio" +version = "4.4.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.8" +files = [ + {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, + {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" +typing-extensions = {version = ">=4.1", 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test_05a_invoke_chat_with_streaming() -> None: + chat = ChatWatsonx( + model_id=MODEL_ID, url=URL, project_id=WX_PROJECT_ID, streaming=True + ) + response = chat.invoke("What's the weather in san francisco") + assert isinstance(response.content, str) + + def test_05_generate_chat_with_stream_with_param() -> None: from ibm_watsonx_ai.metanames import GenTextParamsMetaNames diff --git a/libs/ibm/tests/integration_tests/test_llms.py b/libs/ibm/tests/integration_tests/test_llms.py index 836e9e7..353f5b4 100644 --- a/libs/ibm/tests/integration_tests/test_llms.py +++ b/libs/ibm/tests/integration_tests/test_llms.py @@ -173,6 +173,17 @@ def test_watsonxllm_invoke_with_guardrails() -> None: assert len(response) > 0 +def test_watsonxllm_invoke_with_streaming() -> None: + watsonxllm = WatsonxLLM( + model_id=MODEL_ID, + url="https://us-south.ml.cloud.ibm.com", # type: ignore[arg-type] + project_id=WX_PROJECT_ID, + streaming=True, + ) + response = watsonxllm.invoke("What color sunflower is?") + assert isinstance(response, str) + + def test_watsonxllm_generate_stream() -> None: watsonxllm = WatsonxLLM( model_id=MODEL_ID,