From 47f07061ba338fc771ec6153dccf4950acb7ab81 Mon Sep 17 00:00:00 2001 From: t-miyak Date: Fri, 25 Apr 2025 05:51:02 +0900 Subject: [PATCH 1/7] chore: upgrade langchain-google-vertexai --- poetry.lock | 354 ++++++++++++++++++++++++++++++++++++------------- pyproject.toml | 1 + 2 files changed, 264 insertions(+), 91 deletions(-) diff --git a/poetry.lock b/poetry.lock index c37f33608..3aa12780d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. 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+20,7 @@ packaging = ">=23.2,<25.0" idna = "^3.7" anyio = "^4.4.0" requests = "^2" +langchain-google-vertexai = "^2.0.21" [tool.poetry.group.dev.dependencies] pytest = ">=7.4,<9.0" From 9b97509fe7d01c8991be3ce725b0e584a2f82ff1 Mon Sep 17 00:00:00 2001 From: t-miyak Date: Fri, 25 Apr 2025 05:52:52 +0900 Subject: [PATCH 2/7] feat: remove unnecessary fields of response from VertexAI for usage --- langfuse/callback/langchain.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/langfuse/callback/langchain.py b/langfuse/callback/langchain.py index 674ab0b21..55dc5906b 100644 --- a/langfuse/callback/langchain.py +++ b/langfuse/callback/langchain.py @@ -1066,6 +1066,7 @@ def _parse_usage_model(usage: typing.Union[pydantic.BaseModel, dict]): # https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/get-token-count ("prompt_token_count", "input"), ("candidates_token_count", "output"), + ("total_token_count", "total"), # Bedrock: https://docs.aws.amazon.com/bedrock/latest/userguide/monitoring-cw.html#runtime-cloudwatch-metrics ("inputTokenCount", "input"), ("outputTokenCount", "output"), @@ -1114,6 +1115,17 @@ def _parse_usage_model(usage: typing.Union[pydantic.BaseModel, dict]): if "output" in usage_model: usage_model["output"] = max(0, usage_model["output"] - value) + # For VertexAI, the usage model has non integer values that are not necessary for the usage, so remove them. + # ref. https://cloud.google.com/vertex-ai/generative-ai/docs/reference/rpc/google.cloud.aiplatform.v1#google.cloud.aiplatform.v1.GenerateContentResponse.UsageMetadata + for key in [ + "prompt_tokens_details", + "candidates_tokens_details", + "cache_tokens_details", + ]: + if key in usage_model: + if isinstance(usage_model[key], list): + del usage_model[key] + return usage_model if usage_model else None From 7270a42ad81da99686b67b0357807c31ba4fd3e7 Mon Sep 17 00:00:00 2001 From: t-miyak Date: Fri, 25 Apr 2025 06:48:54 +0900 Subject: 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"sha256:647fe407b45af9a74d245b943b18e6a816acf4926974278f6dd617778e1e781f"}, -] - -[package.extras] -crypto-eth-addresses = ["eth-hash[pycryptodome] (>=0.7.0)"] - [[package]] name = "virtualenv" version = "20.26.6" @@ -6151,4 +5969,4 @@ openai = ["openai"] [metadata] lock-version = "2.1" python-versions = ">=3.9,<4.0" -content-hash = "bc6ef7a654083ac26ff5d58a8e8d392edf96c5c36826ad6570af60c384cf3764" +content-hash = "a3f2492722bda2f3d112bf1d874d12ebed21139fb5be821a46fb94a8c1e9c950" diff --git a/pyproject.toml b/pyproject.toml index 74af1be1e..190f3efe0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,6 +41,7 @@ ruff = ">=0.1.8,<0.6.0" langchain-mistralai = ">=0.0.1,<0.3" google-cloud-aiplatform = "^1.38.1" cohere = ">=4.46,<6.0" +langchain-google-vertexai = ">=1.0.0,<3.0.0" langchain-openai = ">=0.0.5,<0.3" dashscope = "^1.14.1" pymongo = "^4.6.1" @@ -53,7 +54,6 @@ langchain-ollama = "^0.2.0" langchain-cohere = "^0.3.3" langchain-community = ">=0.2.14,<0.4" langgraph = "^0.2.62" -langchain-google-vertexai = ">=1.0.0,<3.0.0" [tool.poetry.group.docs.dependencies] pdoc = "^14.4.0" From 1015813857cc783c66a57cccd38e7d010d8d3e8b Mon Sep 17 00:00:00 2001 From: t-miyak Date: Sun, 27 Apr 2025 06:58:51 +0900 Subject: [PATCH 6/7] feat: determine if the model is gemini more strictly --- langfuse/callback/langchain.py | 24 ++++++++++++++++-------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/langfuse/callback/langchain.py b/langfuse/callback/langchain.py index 55dc5906b..92b529cc9 100644 --- a/langfuse/callback/langchain.py +++ b/langfuse/callback/langchain.py @@ -1117,14 +1117,22 @@ def _parse_usage_model(usage: typing.Union[pydantic.BaseModel, dict]): # For VertexAI, the usage model has non integer values that are not necessary for the usage, so remove them. # ref. https://cloud.google.com/vertex-ai/generative-ai/docs/reference/rpc/google.cloud.aiplatform.v1#google.cloud.aiplatform.v1.GenerateContentResponse.UsageMetadata - for key in [ - "prompt_tokens_details", - "candidates_tokens_details", - "cache_tokens_details", - ]: - if key in usage_model: - if isinstance(usage_model[key], list): - del usage_model[key] + if all( + gemini_key in usage + for gemini_key in [ + "prompt_token_count", + "candidates_token_count", + "total_token_count", + ] + ): + for key in [ + "prompt_tokens_details", + "candidates_tokens_details", + "cache_tokens_details", + ]: + if key in usage_model: + if isinstance(usage_model[key], list): + del usage_model[key] return usage_model if usage_model else None From 653774ae884c720ab1199628239d7929b64eabbc Mon Sep 17 00:00:00 2001 From: t-miyak Date: Sun, 27 Apr 2025 07:32:05 +0900 Subject: [PATCH 7/7] test: fix test for VertexAI --- .env.template | 3 ++- tests/test_langchain.py | 8 ++++---- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/.env.template b/.env.template index 44e1fa81f..4a6fb27c0 100644 --- a/.env.template +++ b/.env.template @@ -7,4 +7,5 @@ LANGFUSE_SECRET_KEY= OPENAI_API_KEY= SERPAPI_API_KEY= ANTHROPIC_API_KEY= -HUGGINGFACEHUB_API_TOKEN= \ No newline at end of file +HUGGINGFACEHUB_API_TOKEN= +GOOGLE_APPLICATION_CREDENTIALS= diff --git a/tests/test_langchain.py b/tests/test_langchain.py index 56a56f69d..88d24cb7b 100644 --- a/tests/test_langchain.py +++ b/tests/test_langchain.py @@ -429,11 +429,11 @@ def test_mistral(): @pytest.mark.skip(reason="missing api key") def test_vertx(): - from langchain.llms import VertexAI + from langchain_google_vertexai import VertexAI callback = CallbackHandler(debug=False) - llm = VertexAI(callbacks=[callback]) + llm = VertexAI(model="gemini-2.0-flash-lite-001", callbacks=[callback]) llm.predict("say a brief hello", callbacks=[callback]) callback.flush() @@ -443,10 +443,10 @@ def test_vertx(): trace = get_api().trace.get(trace_id) assert trace.id == trace_id - assert len(trace.observations) == 2 + assert len(trace.observations) == 1 generation = list(filter(lambda o: o.type == "GENERATION", trace.observations))[0] - assert generation.model == "text-bison" + assert generation.model == "gemini-2.0-flash-lite-001" @pytest.mark.skip(reason="rate limits")