From 0c76ae7ccc86aac7e1ca14503ad6420bee84e3c8 Mon Sep 17 00:00:00 2001 From: noech373 <159523865+noech373@users.noreply.github.com> Date: Mon, 18 Nov 2024 14:35:16 +0100 Subject: [PATCH] [GenAI orchestrator] add reranking embedding and guardrail (#1721) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * versions * ajout guardrail et embedding bloomz * ajout compressor * petites modif * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_provider.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_setting.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_provider.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_setting.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/em_providers_router.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/bloomz_rerank.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * modifications pour PR * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/bloomz_guardrail_setting.py Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> * Update gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/bloomz_rerank.py Co-authored-by: assouktim <32455560+assouktim@users.noreply.github.com> * Update guardrail error type * Remove dead code * gestion ereur label inconnu * modifications to solve conflicts * :memo: :bug: Fixing severeal stuff and adding documentation about guardrail / compressor (reranking) and embedding using Bloomz * :pencil2: IAFMLOPS-516 Review fixes * :pencil2: IAFMLOPS-516 Review fixes, missing max_documents * :pencil2: IAFMLOPS-516 Peotry lock update --------- Co-authored-by: Diverrez morgan <97022189+morgandiverrez@users.noreply.github.com> Co-authored-by: Killian Mahé <53428491+killian-mahe@users.noreply.github.com> Co-authored-by: assouktim <32455560+assouktim@users.noreply.github.com> Co-authored-by: Killian Mahé Co-authored-by: Benjamin BERNARD --- .../python/server/.pre-commit-config.yaml | 2 +- .../src/main/python/server/README.md | 81 +- .../src/main/python/server/poetry.lock | 1112 ++++++++------- .../errors/exceptions/exceptions.py | 7 + .../models/contextual_compressor/__init__.py | 14 + .../contextual_compressor/bloomz/__init__.py | 14 + .../bloomz/bloomz_compressor_setting.py | 48 + .../compressor_provider.py | 24 + .../compressor_setting.py | 26 + .../contextual_compressor/compressor_types.py | 25 + .../models/em/bloomz/__init__.py | 14 + .../models/em/bloomz/bloomz_em_setting.py | 38 + .../models/em/em_provider.py | 1 + .../models/em/em_setting.py | 6 +- .../gen_ai_orchestrator/models/em/em_types.py | 10 +- .../models/errors/errors_models.py | 23 +- .../models/guardrail/__init__.py | 14 + .../models/guardrail/bloomz/__init__.py | 14 + .../bloomz/bloomz_guardrail_setting.py | 36 + .../models/guardrail/guardrail_provider.py | 28 + .../models/guardrail/guardrail_setting.py | 37 + .../models/guardrail/guardrail_types.py | 27 + .../routers/em_providers_router.py | 10 +- .../routers/requests/requests.py | 61 +- .../contextual_compressor/__init__.py | 14 + .../contextual_compressor/bloomz_rerank.py | 99 ++ .../services/em/bloomz_embedding.py | 59 + .../services/guardrail/__init__.py | 14 + .../services/guardrail/bloomz_guardrail.py | 83 ++ .../contextual_compressor/__init__.py | 14 + .../bloomz_compressor_factory.py | 39 + .../compressor_factory.py | 32 + .../factories/em/bloomz_em_factory.py | 36 + .../langchain/factories/guardrail/__init__.py | 14 + .../guardrail/bloomz_guardrail_factory.py | 38 + .../factories/guardrail/guardrail_factory.py | 34 + .../langchain/factories/langchain_factory.py | 217 ++- .../services/langchain/rag_chain.py | 100 +- .../tests/services/test_langchain_factory.py | 118 +- .../server/tests/services/test_rag_chain.py | 275 +++- .../src/main/python/server/tox.ini | 2 +- .../examples/embeddings_bloomz_settings.json | 7 + ...ector_store_pgvector_settings.example.json | 4 +- .../index_documents.py | 2 + .../tock-llm-indexing-tools/poetry.lock | 1224 +++++++++-------- .../tock-llm-indexing-tools/pyproject.toml | 2 +- 46 files changed, 2816 insertions(+), 1283 deletions(-) create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_provider.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_setting.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_types.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/bloomz_em_setting.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/bloomz_guardrail_setting.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_provider.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_setting.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_types.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/bloomz_rerank.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/em/bloomz_embedding.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/bloomz_guardrail.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/bloomz_compressor_factory.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/compressor_factory.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/em/bloomz_em_factory.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/__init__.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/bloomz_guardrail_factory.py create mode 100644 gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/guardrail_factory.py create mode 100644 gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/embeddings_bloomz_settings.json diff --git a/gen-ai/orchestrator-server/src/main/python/server/.pre-commit-config.yaml b/gen-ai/orchestrator-server/src/main/python/server/.pre-commit-config.yaml index 4ac9ccb409..65b5bc340d 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/.pre-commit-config.yaml +++ b/gen-ai/orchestrator-server/src/main/python/server/.pre-commit-config.yaml @@ -33,6 +33,6 @@ repos: hooks: - id: pycln - repo: https://github.com/pypa/pip-audit - rev: v2.7.0 + rev: v2.7.3 hooks: - id: pip-audit \ No newline at end of file diff --git a/gen-ai/orchestrator-server/src/main/python/server/README.md b/gen-ai/orchestrator-server/src/main/python/server/README.md index 2c14ddceaf..770fc82ed6 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/README.md +++ b/gen-ai/orchestrator-server/src/main/python/server/README.md @@ -49,8 +49,8 @@ Basic usage to create a venv with a specific version of Python for this project ```sh # In gen-ai/orchestrator-server/src/main/python/server -pyenv install 3.9.18 -pyenv local 3.9.18 # Activate Python 3.9 for the current +pyenv install 3.10.6 +pyenv local 3.10.6 # Activate Python 3.9 for the current which python # Check that you use the python version installed by pyenv python --version # Check your python version python -m venv .venv # Create a virtual env based on this python version @@ -65,7 +65,7 @@ poetry install # Install dependencies for this project in the virtual env Install python3.9 and poetry : ```sh -apt install python3.9 poetry +apt install python3.10 poetry ``` Create a virtual env then install dependencies : @@ -171,6 +171,81 @@ print(f"Nb of tokens: {num_tokens}") If your prompt contents can be made public, you can also use [OpenAI's tokenizer](https://platform.openai.com/tokenizer) as a more convenient method. +## RAG - Reranking (Compressor), Guardrail and embedding - Bloomz based models + +The Gen AI Orchestrator server RAG chain supports embedding, reranking and guardrails for Bloomz based models. +Curently this implementation is based on a **custom inference server also Open Sourced at https://github.com/creditMutuelArkea/llm-inference/** + +### Embedding configuration + +See [embeddings_bloomz_settings.json](./../tock-llm-indexing-tools/examples/embeddings_bloomz_settings.json) for an exemple of configuration. + +### Reranking / Compressor settings + +Compressor (aka reranker) will compute a similarity score between the user query and a document (context), +usually this score is linked to an output of the reranking model associated to a specific label. We may find the name of +the label in the model card, for instance LABEL_1 contains this similarity score for *cmarkea/bloomz-3b-reranking* model [mentioned in the model +card here](https://huggingface.co/cmarkea/bloomz-3b-reranking#:~:text=lambda%20x%3A%20x%5B0%5D%5B%27label%27%5D%20%3D%3D%20%22LABEL_1%22%2C). + +You can also specify a `min_score`, used to filter non relevant / similar documents. + +Here is an exemple of compressor_settings that uses our llm-inference with *cmarkea/bloomz-3b-reranking* model : +```json +{ + "compressor_setting": { + "endpoint": "http://localhost:8082", + "min_score": 0.7, + "label": "LABEL_1", + "provider": "BloomzRerank" + } +} +``` + +### Guardrail settings + +Our guardrail models for instance [cmarkea/bloomz-560m-guardrail](https://huggingface.co/cmarkea/bloomz-560m-guardrail) +(see our organisation for other variants), returns the following scores thought llm-inference serveur : +```json +{ + "response": [ + [ + { + "label": "insult", + "score": 0.7866228222846985 + }, + { + "label": "obscene", + "score": 0.4258439540863037 + }, + { + "label": "sexual_explicit", + "score": 0.1550784707069397 + }, + { + "label": "identity_attack", + "score": 0.05749328061938286 + }, + { + "label": "threat", + "score": 0.022629201412200928 + } + ] + ] +} +``` + +When adding the guardrail setting to the RAG chain if any of the following evaluated toxicity score is higher that the +setting `max_score` the response will be rejected. Here is an exemple of guardrail setting : +```json +{ + "guardrail_setting": { + "api_base": "http://localhost:8083", + "provider": "BloomzGuardrail", + "max_score": 0.5 + } +} +``` +

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super().__init__(ErrorCode.GEN_AI_PROMPT_TEMPLATE_ERROR, info) + + +class GenAIUnknownLabelException(GenAIOrchestratorException): + """Unknown Label error""" + + def __init__(self, info: ErrorInfo): + super().__init__(ErrorCode.GEN_AI_UNKNOWN_LABEL_ERROR, info) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py new file mode 100644 index 0000000000..9488732fa1 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/bloomz/bloomz_compressor_setting.py @@ -0,0 +1,48 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Literal, Optional + +from pydantic import Field + +from gen_ai_orchestrator.models.contextual_compressor.compressor_provider import ( + ContextualCompressorProvider, +) +from gen_ai_orchestrator.models.contextual_compressor.compressor_setting import ( + BaseCompressorSetting, +) +from gen_ai_orchestrator.services.contextual_compressor.bloomz_rerank import ( + BloomzRerank, +) + + +class BloomzCompressorSetting(BaseCompressorSetting): + provider: Literal[ContextualCompressorProvider.BLOOMZ] = Field( + description='The contextual compressor provider.', + examples=[ContextualCompressorProvider.BLOOMZ], + default=ContextualCompressorProvider.BLOOMZ.value, + ) + min_score: Optional[float] = Field( + description='Minimum retailment score.', + default=BloomzRerank.__fields__['min_score'].default, + ) + endpoint: str = Field(description='Bloomz scoring endpoint.') + max_documents: Optional[int] = Field( + description='Maximum number of documents to return to avoid exceeding max tokens for text generation.', + default=BloomzRerank.__fields__['max_documents'].default, + ) + label: Optional[str] = Field( + description='Label to use for reranking. The output label is usually documented on the huggingface model card ' + 'or in the model\'s config.json file (id2label..).', default='entailment' + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_provider.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_provider.py new file mode 100644 index 0000000000..666c4b432a --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_provider.py @@ -0,0 +1,24 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from enum import Enum, unique + + +@unique +class ContextualCompressorProvider(str, Enum): + BLOOMZ = 'BloomzRerank' + + @classmethod + def has_value(cls, value) -> bool: + return value in cls._value2member_map_ diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_setting.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_setting.py new file mode 100644 index 0000000000..22f894e291 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_setting.py @@ -0,0 +1,26 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from pydantic import BaseModel, Field + +from gen_ai_orchestrator.models.contextual_compressor.compressor_provider import ( + ContextualCompressorProvider, +) + + +class BaseCompressorSetting(BaseModel): + provider: ContextualCompressorProvider = Field( + description='The contextual compressor provider.', + examples=[ContextualCompressorProvider.BLOOMZ], + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_types.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_types.py new file mode 100644 index 0000000000..661261f472 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/contextual_compressor/compressor_types.py @@ -0,0 +1,25 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Annotated, Union + +from fastapi import Body + +from gen_ai_orchestrator.models.contextual_compressor.bloomz.bloomz_compressor_setting import ( + BloomzCompressorSetting, +) + +CompressorSetting = Annotated[ + Union[BloomzCompressorSetting], Body(discriminator='provider') +] diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/bloomz_em_setting.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/bloomz_em_setting.py new file mode 100644 index 0000000000..9f0040ba09 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/bloomz/bloomz_em_setting.py @@ -0,0 +1,38 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Model for creating BloomzEMSetting.""" + +from typing import Literal, Optional + +from pydantic import Field + +from gen_ai_orchestrator.models.em.em_provider import EMProvider +from gen_ai_orchestrator.models.em.em_setting import BaseEMSetting + + +class BloomzEMSetting(BaseEMSetting): + """A class for Bloomz Embedding Model Setting.""" + + provider: Literal[EMProvider.BLOOMZ] = Field( + description='The Embedding Model provider.', examples=[EMProvider.BLOOMZ] + ) + api_base: str = Field( + description='The base url of the provider API.', examples=['http://doc.tock.ai'] + ) + pooling: Optional[str] = Field( + description='Pooling method.', + default='last', + examples=['mean', 'last'], + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_provider.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_provider.py index f5ed4429ec..daaceb5454 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_provider.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_provider.py @@ -24,6 +24,7 @@ class EMProvider(str, Enum): OPEN_AI = 'OpenAI' AZURE_OPEN_AI_SERVICE = 'AzureOpenAIService' OLLAMA = 'Ollama' + BLOOMZ = 'Bloomz' @classmethod def has_value(cls, value) -> bool: diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_setting.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_setting.py index aee5106f4f..201248a3c3 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_setting.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_setting.py @@ -18,7 +18,9 @@ from pydantic import BaseModel, Field from gen_ai_orchestrator.models.em.em_provider import EMProvider -from gen_ai_orchestrator.models.security.raw_secret_key.raw_secret_key import RawSecretKey +from gen_ai_orchestrator.models.security.raw_secret_key.raw_secret_key import ( + RawSecretKey, +) from gen_ai_orchestrator.models.security.security_types import SecretKey @@ -31,5 +33,5 @@ class BaseEMSetting(BaseModel): api_key: Optional[SecretKey] = Field( description='The secret that stores the API key used to authenticate requests to the AI Provider API.', examples=[RawSecretKey(value='ab7-14Ed2-dfg2F-A1IV4B')], - default=None + default=None, ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_types.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_types.py index f8701f36fc..50ed1164dd 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_types.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/em/em_types.py @@ -21,11 +21,17 @@ from gen_ai_orchestrator.models.em.azureopenai.azure_openai_em_setting import ( AzureOpenAIEMSetting, ) -from gen_ai_orchestrator.models.em.ollama.ollama_em_setting import OllamaEMSetting +from gen_ai_orchestrator.models.em.bloomz.bloomz_em_setting import ( + BloomzEMSetting, +) +from gen_ai_orchestrator.models.em.ollama.ollama_em_setting import ( + OllamaEMSetting, +) from gen_ai_orchestrator.models.em.openai.openai_em_setting import ( OpenAIEMSetting, ) EMSetting = Annotated[ - Union[OpenAIEMSetting, AzureOpenAIEMSetting, OllamaEMSetting], Body(discriminator='provider') + Union[OpenAIEMSetting, AzureOpenAIEMSetting, OllamaEMSetting, BloomzEMSetting], + Body(discriminator='provider'), ] diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/errors/errors_models.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/errors/errors_models.py index 8a43d75f82..70f112f27f 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/errors/errors_models.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/errors/errors_models.py @@ -35,6 +35,7 @@ class ErrorCode(Enum): GEN_AI_UNKNOWN_PROVIDER_SETTING = 1003 GEN_AI_GUARD_CHECK_ERROR = 1004 GEN_AI_PROMPT_TEMPLATE_ERROR = 1005 + GEN_AI_UNKNOWN_LABEL_ERROR = 1006 # AI Provider Errors AI_PROVIDER_UNKNOWN = 2000 @@ -142,6 +143,9 @@ class ErrorMessages: message='Prompt Template Error.', detail='Check the template syntax.', ), + ErrorCode.GEN_AI_UNKNOWN_LABEL_ERROR: ErrorMessage( + message='Unknown label.', detail='Check the label you sent.' + ), # AI Provider Errors ErrorCode.AI_PROVIDER_UNKNOWN: ErrorMessage(message='Unknown AI Provider.'), ErrorCode.AI_PROVIDER_BAD_QUERY: ErrorMessage( @@ -168,9 +172,15 @@ class ErrorMessages: detail='Reduce the length of the prompt message.', ), # Vector Store Errors - ErrorCode.VECTOR_STORE_UNKNOWN_PROVIDER: ErrorMessage(message='Unknown vector store provider.'), - ErrorCode.VECTOR_STORE_UNKNOWN_PROVIDER_SETTING: ErrorMessage(message='Unknown vector store setting.'), - ErrorCode.VECTOR_STORE_NO_DOCUMENT_RETRIEVED: ErrorMessage(message='No documents were retrieved from the vector store.'), + ErrorCode.VECTOR_STORE_UNKNOWN_PROVIDER: ErrorMessage( + message='Unknown vector store provider.' + ), + ErrorCode.VECTOR_STORE_UNKNOWN_PROVIDER_SETTING: ErrorMessage( + message='Unknown vector store setting.' + ), + ErrorCode.VECTOR_STORE_NO_DOCUMENT_RETRIEVED: ErrorMessage( + message='No documents were retrieved from the vector store.' + ), # OpenSearch Errors ErrorCode.OPEN_SEARCH_SETTINGS_ERROR: ErrorMessage( message='The OpenSearch is improperly configured.', @@ -187,9 +197,12 @@ class ErrorMessages: detail='Ensure that the index exists and create it if it does not.', ), # Observability Errors - ErrorCode.OBSERVABILITY_UNKNOWN_PROVIDER: ErrorMessage(message='Unknown Observability Provider.'), + ErrorCode.OBSERVABILITY_UNKNOWN_PROVIDER: ErrorMessage( + message='Unknown Observability Provider.' + ), ErrorCode.OBSERVABILITY_UNKNOWN_PROVIDER_SETTING: ErrorMessage( - message='Unknown Observability Provider Settings.'), + message='Unknown Observability Provider Settings.' + ), ErrorCode.OBSERVABILITY_API_ERROR: ErrorMessage( message='API error.', ), diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/bloomz_guardrail_setting.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/bloomz_guardrail_setting.py new file mode 100644 index 0000000000..9a9bc82c2a --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/bloomz/bloomz_guardrail_setting.py @@ -0,0 +1,36 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Model for creating BloomzGuardrailSetting.""" + +from typing import Literal + +from pydantic import Field + +from gen_ai_orchestrator.models.guardrail.guardrail_provider import ( + GuardrailProvider, +) +from gen_ai_orchestrator.models.guardrail.guardrail_setting import ( + BaseGuardrailSetting, +) + + +class BloomzGuardrailSetting(BaseGuardrailSetting): + """A class for Bloomz Guardrail Model Setting.""" + + provider: Literal[GuardrailProvider.BLOOMZ] = Field( + description='The guardrail model provider.', + examples=[GuardrailProvider.BLOOMZ], + ) + api_base: str = Field(description='The API base URL.') diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_provider.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_provider.py new file mode 100644 index 0000000000..8decf933fb --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_provider.py @@ -0,0 +1,28 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""GuardrailProvider Enumeration.""" + +from enum import Enum, unique + + +@unique +class GuardrailProvider(str, Enum): + """Enumeration to list Guardrail Provider type""" + + BLOOMZ = 'BloomzGuardrail' + + @classmethod + def has_value(cls, value) -> bool: + return value in cls._value2member_map_ diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_setting.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_setting.py new file mode 100644 index 0000000000..def4e7c960 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_setting.py @@ -0,0 +1,37 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Model for creating BaseGuardrailSetting.""" + +from typing import Optional + +from pydantic import BaseModel, Field + +from gen_ai_orchestrator.models.guardrail.guardrail_provider import ( + GuardrailProvider, +) + + +class BaseGuardrailSetting(BaseModel): + """A base class for Guardrail Model Setting.""" + + provider: GuardrailProvider = Field( + description='The guardrail provider.', + examples=[GuardrailProvider.BLOOMZ], + ) + max_score: Optional[float] = Field( + description='The maximum acceptable toxicity score, applied to each output labels (evaluated scores) of the ' + 'guardrail. If at least one of those score (evaluated label) is higher the generated answer will ' + 'be rejected.', default=0.3 + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_types.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_types.py new file mode 100644 index 0000000000..46bd1ad5be --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/models/guardrail/guardrail_types.py @@ -0,0 +1,27 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Module defining generic type alias""" + +from typing import Annotated, Union + +from fastapi import Body + +from gen_ai_orchestrator.models.guardrail.bloomz.bloomz_guardrail_setting import ( + BloomzGuardrailSetting, +) + +GuardrailSetting = Annotated[ + Union[BloomzGuardrailSetting], Body(discriminator='provider') +] diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/em_providers_router.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/em_providers_router.py index 9ec7ad06b9..3628d27526 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/em_providers_router.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/em_providers_router.py @@ -30,10 +30,12 @@ create_error_info_not_found, create_error_response, ) - from gen_ai_orchestrator.models.em.azureopenai.azure_openai_em_setting import ( AzureOpenAIEMSetting, ) +from gen_ai_orchestrator.models.em.bloomz.bloomz_em_setting import ( + BloomzEMSetting, +) from gen_ai_orchestrator.models.em.em_provider import EMProvider from gen_ai_orchestrator.models.em.em_types import EMSetting from gen_ai_orchestrator.models.em.openai.openai_em_setting import ( @@ -126,6 +128,12 @@ async def get_em_provider_setting_by_id( api_base='https://doc.tock.ai/tock', api_version='2023-05-15', ) + elif provider_id == EMProvider.BLOOMZ: + return BloomzEMSetting( + provider=EMProvider.BLOOMZ, + api_base='https://doc.tock.ai/tock', + pooling='last', + ) @em_providers_router.post('/{provider_id}/setting/status') diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/requests/requests.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/requests/requests.py index ca27181d2d..34909c5712 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/requests/requests.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/requests/requests.py @@ -18,12 +18,23 @@ from pydantic import BaseModel, Field +from gen_ai_orchestrator.models.contextual_compressor.compressor_types import ( + CompressorSetting, +) from gen_ai_orchestrator.models.em.em_types import EMSetting +from gen_ai_orchestrator.models.guardrail.guardrail_types import ( + GuardrailSetting, +) from gen_ai_orchestrator.models.llm.llm_types import LLMSetting -from gen_ai_orchestrator.models.observability.observability_type import ObservabilitySetting +from gen_ai_orchestrator.models.observability.observability_type import ( + ObservabilitySetting, +) from gen_ai_orchestrator.models.prompt.prompt_template import PromptTemplate from gen_ai_orchestrator.models.rag.rag_models import ChatMessage -from gen_ai_orchestrator.models.vector_stores.vector_store_types import VectorStoreSetting, DocumentSearchParams +from gen_ai_orchestrator.models.vector_stores.vector_store_types import ( + DocumentSearchParams, + VectorStoreSetting, +) class LLMProviderSettingStatusQuery(BaseModel): @@ -64,8 +75,7 @@ class BaseQuery(BaseModel): description='The document search parameters. Ex: number of documents, metadata filter', ) vector_store_setting: Optional[VectorStoreSetting] = Field( - description='The vector store settings.', - default=None + description='The vector store settings.', default=None ) observability_setting: Optional[ObservabilitySetting] = Field( description='The observability settings.', default=None @@ -112,16 +122,15 @@ class VectorStoreProviderSettingStatusQuery(BaseModel): """The query for the Vector Store Provider Setting Status""" vector_store_setting: Optional[VectorStoreSetting] = Field( - description='The Vector Store Provider setting to be checked.', - default=None + description='The Vector Store Provider setting to be checked.', default=None ) em_setting: Optional[EMSetting] = Field( description="Embedding model setting, used to calculate the user's question vector.", - default=None + default=None, ) document_index_name: Optional[str] = Field( description='Index name corresponding to a document collection in the vector database.', - default=None + default=None, ) @@ -145,6 +154,29 @@ class RagQuery(BaseQuery): question_answering_llm_setting: LLMSetting = Field( description='LLM setting, used to perform a QA Prompt.' ) + question_answering_prompt_inputs: Any = Field( + description='Key-value inputs for the llm prompt when used as a template. Please note that the ' + 'chat_history field must not be specified here, it will be override by the history field', + ) + embedding_question_em_setting: EMSetting = Field( + description="Embedding model setting, used to calculate the user's question vector." + ) + document_index_name: str = Field( + description='Index name corresponding to a document collection in the vector database.', + ) + document_search_params: DocumentSearchParams = Field( + description='The document search parameters. Ex: number of documents, metadata filter', + ) + observability_setting: Optional[ObservabilitySetting] = Field( + description='The observability settings.', default=None + ) + guardrail_setting: Optional[GuardrailSetting] = Field( + description='Guardrail settings, to classify LLM output toxicity.', default=None + ) + compressor_setting: Optional[CompressorSetting] = Field( + description='Compressor settings, to rerank relevant documents returned by retriever.', + default=None, + ) model_config = { 'json_schema_extra': { @@ -202,7 +234,18 @@ class RagQuery(BaseQuery): 'k': 4, }, 'observability_setting': None, - 'vector_store_setting': None, + 'guardrail_setting': { + 'provider': 'BloomzGuardrail', + 'api_base': 'https://*********', + 'max_score': 0.3, + }, + 'compressor_setting': { + 'provider': 'BloomzRerank', + 'min_score': 0.7, + 'max_documents': 10, + 'label': 'entailment', + 'endpoint': 'https://*********', + }, } ] } diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/bloomz_rerank.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/bloomz_rerank.py new file mode 100644 index 0000000000..13019fab12 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/contextual_compressor/bloomz_rerank.py @@ -0,0 +1,99 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +from typing import Optional, Sequence +from urllib.parse import urljoin + +import requests +from langchain.callbacks.manager import Callbacks +from langchain.retrievers.document_compressors.base import ( + BaseDocumentCompressor, +) +from langchain_core.documents import Document + +from gen_ai_orchestrator.errors.exceptions.exceptions import ( + GenAIUnknownLabelException, +) +from gen_ai_orchestrator.models.errors.errors_models import ErrorInfo + +logger = logging.getLogger(__name__) + +logging.basicConfig() +logging.getLogger().setLevel(logging.INFO) + + +class BloomzRerank(BaseDocumentCompressor): + """Document compressor that uses `Bloomz reranking endpoint`.""" + + min_score: float = 0.5 + """Minimum score to use for reranking.""" + endpoint: str + """Model to use for reranking.""" + max_documents: int = 50 + """Maximum number of documents to return to avoid exceeding max tokens for text generation.""" + label: str = 'entailment' + """Label to use for reranking.""" + + def compress_documents( + self, + documents: Sequence[Document], + query: str, + callbacks: Optional[Callbacks] = None, + ) -> Sequence[Document]: + """ + Compress documents. + + Args: + documents: A sequence of documents to compress. + query: The query to use for compressing the documents. + callbacks: Callbacks to run during the compression process. + + Returns: + A sequence of compressed documents. + """ + if len(documents) == 0: # to avoid empty api call + return [] + + response = requests.post( + urljoin(self.endpoint, '/score'), + json={ + 'contexts': [ + {'query': query, 'context': document.page_content} + for document in documents + ] + }, + ) + + if response.status_code != 200: + logger.error(f'{response.status_code} {response.reason} - {response.text}') + raise RuntimeError("The scoring server didn't respond as expected.") + + final_results = [] + for i, doc_results in enumerate(response.json()['response']): + try: + doc_entailment = next( + filter(lambda cls: cls['label'] == self.label, doc_results) + ) + if doc_entailment['score'] >= self.min_score: + documents[i].metadata['retriever_score'] = doc_entailment['score'] + final_results.append(documents[i]) + + except StopIteration: + message = "The label doesn't match any known labels." + raise GenAIUnknownLabelException(ErrorInfo(cause=message)) + + return sorted( + final_results, key=lambda d: d.metadata['retriever_score'], reverse=True + )[: self.max_documents] diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/em/bloomz_embedding.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/em/bloomz_embedding.py new file mode 100644 index 0000000000..4dd485f7cc --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/em/bloomz_embedding.py @@ -0,0 +1,59 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import logging +from typing import List, Union +from urllib.parse import urljoin + +import requests +from langchain.schema.embeddings import Embeddings +from pydantic import BaseModel + +logger = logging.getLogger(__name__) + + +class InferenceRequest(BaseModel): + text: Union[str, list] + pooling: str + + +class BloomzEmbeddings(BaseModel, Embeddings): + """A class for Bloomz Embeddings Model""" + + pooling: str + api_base: str + + @property + def _api_url(self) -> str: + return urljoin(self.api_base, '/embed') + + def embed_documents(self, texts: List[str]) -> List[List[float]]: + """Get the embeddings for a list of texts.""" + response = requests.post( + self._api_url, + json=InferenceRequest(text=texts, pooling=self.pooling).model_dump( + mode='json' + ), + verify=False, + ) + if response.status_code != 200: + logger.exception( + f"Embedding request didn't return expected status code {response.content}" + ) + return response.json()['embedding'] + + def embed_query(self, text: str) -> List[float]: + """Compute query embeddings using a HuggingFace transformer model.""" + return self.embed_documents([text])[0] diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/bloomz_guardrail.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/bloomz_guardrail.py new file mode 100644 index 0000000000..2308bca9a3 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/guardrail/bloomz_guardrail.py @@ -0,0 +1,83 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import List, Optional +from urllib.parse import urljoin + +import requests +from langchain_core.output_parsers.transform import ( + BaseCumulativeTransformOutputParser, +) +from pydantic import BaseModel +from requests.exceptions import HTTPError + + +class GuardrailOutput(BaseModel): + content: str + output_toxicity: bool = False + output_toxicity_reason: Optional[list[str]] = [] + + +class BloomzGuardrailOutputParser(BaseCumulativeTransformOutputParser[dict]): + """Parse the output of an LLM call using Guardrails.""" + + max_score: float + """Maximum acceptable toxicity score.""" + endpoint: str + """The model API endpoint to use.""" + diff: bool = True + + @classmethod + def is_lc_serializable(cls) -> bool: + """Return whether this class is serializable.""" + return True + + @classmethod + def get_lc_namespace(cls) -> List[str]: + """Get the namespace of the langchain object.""" + return ['langchain', 'schema', 'output_parser'] + + @property + def _type(self) -> str: + """Return the output parser type for serialization.""" + return 'default' + + def _diff(self, prev: Optional[dict], next: dict) -> dict: + output = next.copy() + if prev: + output['content'] = next['content'][len(prev['content']) :] + return output + + def parse(self, text: str) -> dict: + response = requests.post( + urljoin(self.endpoint, '/guardrail'), json={'text': [text]} + ) + if response.status_code != 200: + raise HTTPError( + f"Error {response.status_code}. Bloomz guardrail didn't respond as expected." + ) + + results = response.json()['response'][0] + + detected_toxicities = list( + filter(lambda mode: mode['score'] > self.max_score, results) + ) + + return GuardrailOutput( + content=text, + output_toxicity=bool(detected_toxicities), + output_toxicity_reason=list( + map(lambda mode: mode['label'], detected_toxicities) + ), + ).model_dump() diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/bloomz_compressor_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/bloomz_compressor_factory.py new file mode 100644 index 0000000000..a2d12d5d15 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/bloomz_compressor_factory.py @@ -0,0 +1,39 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from langchain.retrievers.document_compressors.base import ( + BaseDocumentCompressor, +) + +from gen_ai_orchestrator.models.contextual_compressor.bloomz.bloomz_compressor_setting import ( + BloomzCompressorSetting, +) +from gen_ai_orchestrator.services.contextual_compressor.bloomz_rerank import ( + BloomzRerank, +) +from gen_ai_orchestrator.services.langchain.factories.contextual_compressor.compressor_factory import ( + CompressorFactory, +) + + +class BloomzCompressorFactory(CompressorFactory): + setting: BloomzCompressorSetting + + def get_compressor(self) -> BaseDocumentCompressor: + return BloomzRerank( + min_score=self.setting.min_score, + endpoint=self.setting.endpoint, + max_documents=self.setting.max_documents, + label=self.setting.label, + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/compressor_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/compressor_factory.py new file mode 100644 index 0000000000..dbf93f9cdd --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/contextual_compressor/compressor_factory.py @@ -0,0 +1,32 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from abc import ABC, abstractmethod + +from langchain.retrievers.document_compressors.base import ( + BaseDocumentCompressor, +) +from pydantic import BaseModel + +from gen_ai_orchestrator.models.contextual_compressor.compressor_setting import ( + BaseCompressorSetting, +) + + +class CompressorFactory(ABC, BaseModel): + setting: BaseCompressorSetting + + @abstractmethod + def get_compressor(self) -> BaseDocumentCompressor: + pass diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/em/bloomz_em_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/em/bloomz_em_factory.py new file mode 100644 index 0000000000..788b856eb7 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/em/bloomz_em_factory.py @@ -0,0 +1,36 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Model for creating BloomzEMFactory""" + +from langchain.embeddings.base import Embeddings + +from gen_ai_orchestrator.models.em.bloomz.bloomz_em_setting import ( + BloomzEMSetting, +) +from gen_ai_orchestrator.services.em.bloomz_embedding import BloomzEmbeddings +from gen_ai_orchestrator.services.langchain.factories.em.em_factory import ( + LangChainEMFactory, +) + + +class BloomzEMFactory(LangChainEMFactory): + """A class for Bloomz Embedding Factory""" + + setting: BloomzEMSetting + + def get_embedding_model(self) -> Embeddings: + return BloomzEmbeddings( + pooling=self.setting.pooling, api_base=self.setting.api_base + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/__init__.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/__init__.py new file mode 100644 index 0000000000..0b6c73c789 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/bloomz_guardrail_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/bloomz_guardrail_factory.py new file mode 100644 index 0000000000..a191890aa2 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/bloomz_guardrail_factory.py @@ -0,0 +1,38 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Model for creating BloomzGuardrailFactory""" + +from langchain_core.output_parsers import BaseOutputParser + +from gen_ai_orchestrator.models.guardrail.bloomz.bloomz_guardrail_setting import ( + BloomzGuardrailSetting, +) +from gen_ai_orchestrator.services.guardrail.bloomz_guardrail import ( + BloomzGuardrailOutputParser, +) +from gen_ai_orchestrator.services.langchain.factories.guardrail.guardrail_factory import ( + GuardrailFactory, +) + + +class BloomzGuardrailFactory(GuardrailFactory): + """A class for Bloomz Guardrail Factory""" + + setting: BloomzGuardrailSetting + + def get_parser(self) -> BaseOutputParser: + return BloomzGuardrailOutputParser( + max_score=self.setting.max_score, endpoint=self.setting.api_base + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/guardrail_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/guardrail_factory.py new file mode 100644 index 0000000000..44845ed684 --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/guardrail/guardrail_factory.py @@ -0,0 +1,34 @@ +# Copyright (C) 2023-2024 Credit Mutuel Arkea +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Module for the Guardrail Factory""" + +from abc import ABC, abstractmethod + +from langchain_core.output_parsers import BaseOutputParser +from pydantic import BaseModel + +from gen_ai_orchestrator.models.guardrail.guardrail_setting import ( + BaseGuardrailSetting, +) + + +class GuardrailFactory(ABC, BaseModel): + """A base class for Guardrail Factory""" + + setting: BaseGuardrailSetting + + @abstractmethod + def get_parser(self) -> BaseOutputParser: + pass diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py index eda1615e57..7b9e0f12bd 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py @@ -18,6 +18,8 @@ - LLM Factory - EM Factory - Vector Store Factory + - Guardrail Factory + - Compressor Factory """ import logging @@ -26,72 +28,143 @@ from langchain_core.embeddings import Embeddings from langfuse.callback import CallbackHandler as LangfuseCallbackHandler -from gen_ai_orchestrator.configurations.environment.settings import application_settings +from gen_ai_orchestrator.configurations.environment.settings import ( + application_settings, +) from gen_ai_orchestrator.errors.exceptions.exceptions import ( GenAIUnknownProviderSettingException, ) -from gen_ai_orchestrator.errors.exceptions.observability.observability_exceptions import \ - GenAIUnknownObservabilityProviderSettingException -from gen_ai_orchestrator.errors.exceptions.vector_store.vector_store_exceptions import \ - GenAIUnknownVectorStoreProviderSettingException +from gen_ai_orchestrator.errors.exceptions.observability.observability_exceptions import ( + GenAIUnknownObservabilityProviderSettingException, +) +from gen_ai_orchestrator.errors.exceptions.vector_store.vector_store_exceptions import ( + GenAIUnknownVectorStoreProviderSettingException, +) +from gen_ai_orchestrator.models.contextual_compressor.bloomz.bloomz_compressor_setting import ( + BloomzCompressorSetting, +) +from gen_ai_orchestrator.models.contextual_compressor.compressor_setting import ( + BaseCompressorSetting, +) from gen_ai_orchestrator.models.em.azureopenai.azure_openai_em_setting import ( AzureOpenAIEMSetting, ) +from gen_ai_orchestrator.models.em.bloomz.bloomz_em_setting import ( + BloomzEMSetting, +) from gen_ai_orchestrator.models.em.em_setting import BaseEMSetting -from gen_ai_orchestrator.models.em.ollama.ollama_em_setting import OllamaEMSetting -from gen_ai_orchestrator.models.em.openai.openai_em_setting import OpenAIEMSetting +from gen_ai_orchestrator.models.em.ollama.ollama_em_setting import ( + OllamaEMSetting, +) +from gen_ai_orchestrator.models.em.openai.openai_em_setting import ( + OpenAIEMSetting, +) +from gen_ai_orchestrator.models.guardrail.bloomz.bloomz_guardrail_setting import ( + BloomzGuardrailSetting, +) +from gen_ai_orchestrator.models.guardrail.guardrail_setting import ( + BaseGuardrailSetting, +) from gen_ai_orchestrator.models.llm.azureopenai.azure_openai_llm_setting import ( AzureOpenAILLMSetting, ) -from gen_ai_orchestrator.models.llm.fake_llm.fake_llm_setting import FakeLLMSetting +from gen_ai_orchestrator.models.llm.fake_llm.fake_llm_setting import ( + FakeLLMSetting, +) from gen_ai_orchestrator.models.llm.llm_setting import BaseLLMSetting -from gen_ai_orchestrator.models.llm.ollama.ollama_llm_setting import OllamaLLMSetting +from gen_ai_orchestrator.models.llm.ollama.ollama_llm_setting import ( + OllamaLLMSetting, +) from gen_ai_orchestrator.models.llm.openai.openai_llm_setting import ( OpenAILLMSetting, ) -from gen_ai_orchestrator.models.observability.langfuse.langfuse_setting import LangfuseObservabilitySetting -from gen_ai_orchestrator.models.observability.observability_setting import BaseObservabilitySetting -from gen_ai_orchestrator.models.observability.observability_trace import ObservabilityTrace -from gen_ai_orchestrator.models.observability.observability_type import ObservabilitySetting -from gen_ai_orchestrator.models.security.raw_secret_key.raw_secret_key import RawSecretKey -from gen_ai_orchestrator.models.vector_stores.open_search.open_search_setting import OpenSearchVectorStoreSetting -from gen_ai_orchestrator.models.vector_stores.pgvector.pgvector_setting import PGVectorStoreSetting -from gen_ai_orchestrator.models.vector_stores.vector_store_types import VectorStoreSetting -from gen_ai_orchestrator.models.vector_stores.vectore_store_provider import VectorStoreProvider -from gen_ai_orchestrator.routers.requests.requests import RagQuery -from gen_ai_orchestrator.services.langchain.factories.callback_handlers.callback_handlers_factory import \ - LangChainCallbackHandlerFactory -from gen_ai_orchestrator.services.langchain.factories.callback_handlers.langfuse_callback_handler_factory import \ - LangfuseCallbackHandlerFactory +from gen_ai_orchestrator.models.observability.langfuse.langfuse_setting import ( + LangfuseObservabilitySetting, +) +from gen_ai_orchestrator.models.observability.observability_setting import ( + BaseObservabilitySetting, +) +from gen_ai_orchestrator.models.observability.observability_trace import ( + ObservabilityTrace, +) +from gen_ai_orchestrator.models.observability.observability_type import ( + ObservabilitySetting, +) +from gen_ai_orchestrator.models.security.raw_secret_key.raw_secret_key import ( + RawSecretKey, +) +from gen_ai_orchestrator.models.vector_stores.open_search.open_search_setting import ( + OpenSearchVectorStoreSetting, +) +from gen_ai_orchestrator.models.vector_stores.pgvector.pgvector_setting import ( + PGVectorStoreSetting, +) +from gen_ai_orchestrator.models.vector_stores.vector_store_types import ( + VectorStoreSetting, +) +from gen_ai_orchestrator.models.vector_stores.vectore_store_provider import ( + VectorStoreProvider, +) +from gen_ai_orchestrator.services.langchain.factories.callback_handlers.callback_handlers_factory import ( + LangChainCallbackHandlerFactory, +) +from gen_ai_orchestrator.services.langchain.factories.callback_handlers.langfuse_callback_handler_factory import ( + LangfuseCallbackHandlerFactory, +) +from gen_ai_orchestrator.services.langchain.factories.contextual_compressor.bloomz_compressor_factory import ( + BloomzCompressorFactory, +) +from gen_ai_orchestrator.services.langchain.factories.contextual_compressor.compressor_factory import ( + CompressorFactory, +) from gen_ai_orchestrator.services.langchain.factories.em.azure_openai_em_factory import ( AzureOpenAIEMFactory, ) +from gen_ai_orchestrator.services.langchain.factories.em.bloomz_em_factory import ( + BloomzEMFactory, +) from gen_ai_orchestrator.services.langchain.factories.em.em_factory import ( LangChainEMFactory, ) -from gen_ai_orchestrator.services.langchain.factories.em.ollama_em_factory import OllamaEMFactory +from gen_ai_orchestrator.services.langchain.factories.em.ollama_em_factory import ( + OllamaEMFactory, +) from gen_ai_orchestrator.services.langchain.factories.em.openai_em_factory import ( OpenAIEMFactory, ) +from gen_ai_orchestrator.services.langchain.factories.guardrail.bloomz_guardrail_factory import ( + BloomzGuardrailFactory, +) +from gen_ai_orchestrator.services.langchain.factories.guardrail.guardrail_factory import ( + GuardrailFactory, +) from gen_ai_orchestrator.services.langchain.factories.llm.azure_openai_llm_factory import ( AzureOpenAILLMFactory, ) -from gen_ai_orchestrator.services.langchain.factories.llm.fake_llm_factory import FakeLLMFactory +from gen_ai_orchestrator.services.langchain.factories.llm.fake_llm_factory import ( + FakeLLMFactory, +) from gen_ai_orchestrator.services.langchain.factories.llm.llm_factory import ( LangChainLLMFactory, ) -from gen_ai_orchestrator.services.langchain.factories.llm.ollama_llm_factory import OllamaLLMFactory +from gen_ai_orchestrator.services.langchain.factories.llm.ollama_llm_factory import ( + OllamaLLMFactory, +) from gen_ai_orchestrator.services.langchain.factories.llm.openai_llm_factory import ( OpenAILLMFactory, ) from gen_ai_orchestrator.services.langchain.factories.vector_stores.open_search_factory import ( OpenSearchFactory, ) -from gen_ai_orchestrator.services.langchain.factories.vector_stores.pgvector_factory import PGVectorFactory +from gen_ai_orchestrator.services.langchain.factories.vector_stores.pgvector_factory import ( + PGVectorFactory, +) from gen_ai_orchestrator.services.langchain.factories.vector_stores.vector_store_factory import ( LangChainVectorStoreFactory, ) -from gen_ai_orchestrator.utils.secret_manager.secret_manager_service import vector_store_credentials +from gen_ai_orchestrator.utils.secret_manager.secret_manager_service import ( + vector_store_credentials, +) logger = logging.getLogger(__name__) @@ -143,14 +216,17 @@ def get_em_factory(setting: BaseEMSetting) -> LangChainEMFactory: elif isinstance(setting, OllamaEMSetting): logger.debug('LLM Factory - OllamaEMFactory') return OllamaEMFactory(setting=setting) + elif isinstance(setting, BloomzEMSetting): + logger.debug('EM Factory - BloomzEMFactory') + return BloomzEMFactory(setting=setting) else: raise GenAIUnknownProviderSettingException() def get_vector_store_factory( - setting: Optional[VectorStoreSetting], - index_name: str, - embedding_function: Embeddings + setting: Optional[VectorStoreSetting], + index_name: str, + embedding_function: Embeddings, ) -> LangChainVectorStoreFactory: """ Creates an LangChain Vector Store Factory according to the vector store provider @@ -165,30 +241,36 @@ def get_vector_store_factory( logger.info('Get Vector Store Factory for the given setting') # Helper function to create OpenSearchFactory - def create_opensearch_factory(vs_setting: Optional[OpenSearchVectorStoreSetting]) -> OpenSearchFactory: + def create_opensearch_factory( + vs_setting: Optional[OpenSearchVectorStoreSetting], + ) -> OpenSearchFactory: return OpenSearchFactory( - setting=vs_setting or OpenSearchVectorStoreSetting( + setting=vs_setting + or OpenSearchVectorStoreSetting( host=application_settings.vector_store_host, port=application_settings.vector_store_port, username=vector_store_credentials.username, password=RawSecretKey(value=vector_store_credentials.password), ), index_name=index_name, - embedding_function=embedding_function + embedding_function=embedding_function, ) # Helper function to create PGVectorFactory - def create_pgvector_factory(vs_setting: Optional[PGVectorStoreSetting]) -> PGVectorFactory: + def create_pgvector_factory( + vs_setting: Optional[PGVectorStoreSetting], + ) -> PGVectorFactory: return PGVectorFactory( - setting=vs_setting or PGVectorStoreSetting( + setting=vs_setting + or PGVectorStoreSetting( host=application_settings.vector_store_host, port=application_settings.vector_store_port, username=vector_store_credentials.username, password=RawSecretKey(value=vector_store_credentials.password), - database=application_settings.vector_store_database + database=application_settings.vector_store_database, ), index_name=index_name, - embedding_function=embedding_function + embedding_function=embedding_function, ) # If no setting is provided, use defaults from environment variables @@ -196,7 +278,10 @@ def create_pgvector_factory(vs_setting: Optional[PGVectorStoreSetting]) -> PGVec logger.info('No Vector Store setting was given.') # Validate required default settings - if application_settings.vector_store_provider is None or vector_store_credentials is None: + if ( + application_settings.vector_store_provider is None + or vector_store_credentials is None + ): logger.error('No default Vector Store defined!') raise GenAIUnknownVectorStoreProviderSettingException() @@ -217,17 +302,23 @@ def create_pgvector_factory(vs_setting: Optional[PGVectorStoreSetting]) -> PGVec # Use the provided setting to determine the factory type if isinstance(setting, OpenSearchVectorStoreSetting): - logger.debug('Creating Vector Store Factory based on RAG query - OpenSearchFactory') + logger.debug( + 'Creating Vector Store Factory based on RAG query - OpenSearchFactory' + ) return create_opensearch_factory(setting) elif isinstance(setting, PGVectorStoreSetting): - logger.debug('Creating Vector Store Factory based on RAG query - PGVectorFactory') + logger.debug( + 'Creating Vector Store Factory based on RAG query - PGVectorFactory' + ) return create_pgvector_factory(setting) logger.error('Unknown Vector Store provider setting in RAG query!') raise GenAIUnknownVectorStoreProviderSettingException() -def get_callback_handler_factory(setting: BaseObservabilitySetting) -> LangChainCallbackHandlerFactory: +def get_callback_handler_factory( + setting: BaseObservabilitySetting, +) -> LangChainCallbackHandlerFactory: """ Creates a Langchain Callback Handler Factory according to the given setting Args: @@ -246,8 +337,9 @@ def get_callback_handler_factory(setting: BaseObservabilitySetting) -> LangChain def create_observability_callback_handler( - observability_setting: Optional[ObservabilitySetting], - trace_name: ObservabilityTrace) -> Optional[LangfuseCallbackHandler]: + observability_setting: Optional[ObservabilitySetting], + trace_name: ObservabilityTrace, +) -> Optional[LangfuseCallbackHandler]: """ Create the Observability Callback Handler @@ -259,7 +351,40 @@ def create_observability_callback_handler( The Observability Callback Handler """ if observability_setting is not None: - return get_callback_handler_factory(setting=observability_setting).get_callback_handler( - trace_name=trace_name.value) + return get_callback_handler_factory( + setting=observability_setting + ).get_callback_handler(trace_name=trace_name.value) return None + + +def get_guardrail_factory(setting: BaseGuardrailSetting) -> GuardrailFactory: + """ + Retrieves the appropriate GuardrailFactory instance based on the provided setting. + Args: + setting : The Guardrail Setting + Returns: + The Guardrail Factory, or raise an exception otherwise + """ + logger.info('Get Guardrail Factory for the given setting') + if isinstance(setting, BloomzGuardrailSetting): + logger.debug('Guardrail Factory - BloomzGuardrailFactory') + return BloomzGuardrailFactory(setting=setting) + else: + raise GenAIUnknownProviderSettingException() + + +def get_compressor_factory(setting: BaseCompressorSetting) -> CompressorFactory: + """ + Creates a Compressor Factory according to the compressor provider + Args: + setting: The compressor setting + Returns: + The Compressor Factory, or raise an exception otherwise + """ + logger.info('Get Contextual Compressor Factory for the given setting') + if isinstance(setting, BloomzCompressorSetting): + logger.debug('Contextual Compressor Factory - BloomzCompressorFactory') + return BloomzCompressorFactory(setting=setting) + else: + raise GenAIUnknownProviderSettingException() diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py index 33b4839337..7bb682bcf0 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py +++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py @@ -23,10 +23,16 @@ from logging import ERROR, WARNING from typing import List, Optional -from langchain.chains import ConversationalRetrievalChain +from langchain.chains.conversational_retrieval.base import ( + ConversationalRetrievalChain, +) +from langchain.retrievers.contextual_compression import ( + ContextualCompressionRetriever, +) from langchain_community.chat_message_histories import ChatMessageHistory from langchain_core.documents import Document from langchain_core.prompts import PromptTemplate +from langchain_core.vectorstores import VectorStoreRetriever from gen_ai_orchestrator.errors.exceptions.exceptions import ( GenAIGuardCheckException, @@ -37,8 +43,13 @@ from gen_ai_orchestrator.errors.handlers.opensearch.opensearch_exception_handler import ( opensearch_exception_handler, ) +from gen_ai_orchestrator.models.contextual_compressor.compressor_setting import ( + BaseCompressorSetting, +) from gen_ai_orchestrator.models.errors.errors_models import ErrorInfo -from gen_ai_orchestrator.models.observability.observability_trace import ObservabilityTrace +from gen_ai_orchestrator.models.observability.observability_trace import ( + ObservabilityTrace, +) from gen_ai_orchestrator.models.rag.rag_models import ( ChatMessageType, Footnote, @@ -47,18 +58,18 @@ RagDocumentMetadata, TextWithFootnotes, ) -from gen_ai_orchestrator.models.vector_stores.vectore_store_provider import ( - VectorStoreProvider, -) from gen_ai_orchestrator.routers.requests.requests import RagQuery from gen_ai_orchestrator.routers.responses.responses import RagResponse from gen_ai_orchestrator.services.langchain.callbacks.retriever_json_callback_handler import ( RetrieverJsonCallbackHandler, ) from gen_ai_orchestrator.services.langchain.factories.langchain_factory import ( + create_observability_callback_handler, + get_compressor_factory, get_em_factory, + get_guardrail_factory, get_llm_factory, - get_vector_store_factory, create_observability_callback_handler, + get_vector_store_factory, ) logger = logging.getLogger(__name__) @@ -112,7 +123,9 @@ async def execute_qa_chain(query: RagQuery, debug: bool) -> RagResponse: callback_handlers.append( create_observability_callback_handler( observability_setting=query.observability_setting, - trace_name=ObservabilityTrace.RAG)) + trace_name=ObservabilityTrace.RAG, + ) + ) response = await conversational_retrieval_chain.ainvoke( input=inputs, @@ -122,6 +135,12 @@ async def execute_qa_chain(query: RagQuery, debug: bool) -> RagResponse: # RAG Guard __rag_guard(inputs, response) + # Guardrail + if query.guardrail_setting: + guardrail = get_guardrail_factory(setting=query.guardrail_setting).get_parser() + guardrail_output = guardrail.parse(response['answer']) + check_guardrail_output(guardrail_output) + # Calculation of RAG processing time rag_duration = '{:.2f}'.format(time.time() - start_time) logger.info('RAG chain - End of execution. (Duration : %s seconds)', rag_duration) @@ -146,9 +165,10 @@ async def execute_qa_chain(query: RagQuery, debug: bool) -> RagResponse: query, response, records_callback_handler, rag_duration ) if debug - else None + else None, ) + def get_source_content(doc: Document) -> str: """ Find and delete the title followed by two line breaks @@ -160,7 +180,7 @@ def get_source_content(doc: Document) -> str: """ title_prefix = f"{doc.metadata['title']}\n\n" if doc.page_content.startswith(title_prefix): - return doc.page_content[len(title_prefix):] + return doc.page_content[len(title_prefix) :] else: return doc.page_content @@ -176,15 +196,24 @@ def create_rag_chain(query: RagQuery) -> ConversationalRetrievalChain: """ llm_factory = get_llm_factory(setting=query.question_answering_llm_setting) em_factory = get_em_factory(setting=query.embedding_question_em_setting) - vector_store_factory = get_vector_store_factory(setting=query.vector_store_setting, - index_name=query.document_index_name, - embedding_function=em_factory.get_embedding_model()) + vector_store_factory = get_vector_store_factory( + setting=query.vector_store_setting, + index_name=query.document_index_name, + embedding_function=em_factory.get_embedding_model(), + ) + + retriever = vector_store_factory.get_vector_store_retriever( + search_kwargs=query.document_search_params.to_dict() + ) + if query.compressor_setting: + retriever = add_compressor(retriever, query.compressor_setting) logger.debug('RAG chain - Document index name: %s', query.document_index_name) logger.debug('RAG chain - Create a ConversationalRetrievalChain from LLM') + return ConversationalRetrievalChain.from_llm( llm=llm_factory.get_language_model(), - retriever=vector_store_factory.get_vector_store_retriever(query.document_search_params.to_dict()), + retriever=retriever, return_source_documents=True, return_generated_question=True, combine_docs_chain_kwargs={ @@ -223,16 +252,16 @@ def __rag_guard(inputs, response): if 'no_answer' in inputs: if ( - response['answer'] != inputs['no_answer'] - and response['source_documents'] == [] + response['answer'] != inputs['no_answer'] + and response['source_documents'] == [] ): message = 'The RAG gives an answer when no document has been found!' __rag_log(level=ERROR, message=message, inputs=inputs, response=response) raise GenAIGuardCheckException(ErrorInfo(cause=message)) if ( - response['answer'] == inputs['no_answer'] - and response['source_documents'] != [] + response['answer'] == inputs['no_answer'] + and response['source_documents'] != [] ): message = 'The RAG gives no answer for user question, but some documents has been found!' __rag_log(level=WARNING, message=message, inputs=inputs, response=response) @@ -276,7 +305,8 @@ def get_rag_documents(handler: RetrieverJsonCallbackHandler) -> List[RagDocument return [ # Get first 100 char of content RagDocument( - content=doc['page_content'][0:len(doc['metadata']['title'])+100] + '...', + content=doc['page_content'][0 : len(doc['metadata']['title']) + 100] + + '...', metadata=RagDocumentMetadata(**doc['metadata']), ) for doc in on_chain_start_records[0]['inputs']['input_documents'] @@ -310,7 +340,7 @@ def get_llm_prompts(handler: RetrieverJsonCallbackHandler) -> (Optional[str], st def get_rag_debug_data( - query, response, records_callback_handler, rag_duration + query: RagQuery, response, records_callback_handler, rag_duration ) -> RagDebugData: """RAG debug data assembly""" @@ -325,3 +355,35 @@ def get_rag_debug_data( answer=response['answer'], duration=rag_duration, ) + + +def check_guardrail_output(guardrail_output: dict) -> bool: + """Checks if the guardrail detected toxicities. + Args: + guardrail_output: The guardrail output dictionnary + Returns: + Returns True if nothing is detected, raises an exception otherwise. + """ + if guardrail_output['output_toxicity']: + message = f"Toxicity detected in LLM output ({','.join(guardrail_output['output_toxicity_reason'])})" + raise GenAIGuardCheckException(ErrorInfo(cause=message)) + return True + + +def add_compressor( + retriever: VectorStoreRetriever, compressor_settings: BaseCompressorSetting +) -> ContextualCompressionRetriever: + """ + Adds a compressor to the retriever. + Args: + retriever : the Base retriever + compressor_settings : the compressor settings + Returns: + New retriever with compressing feature. + """ + compressor = get_compressor_factory(setting=compressor_settings).get_compressor() + + return ContextualCompressionRetriever( + base_retriever=retriever, + base_compressor=compressor, + ) diff --git a/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_langchain_factory.py b/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_langchain_factory.py index c269e2228f..af1bee436f 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_langchain_factory.py +++ b/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_langchain_factory.py @@ -18,17 +18,28 @@ from gen_ai_orchestrator.errors.exceptions.exceptions import ( GenAIUnknownProviderSettingException, ) -from gen_ai_orchestrator.errors.exceptions.observability.observability_exceptions import \ - GenAIUnknownObservabilityProviderSettingException -from gen_ai_orchestrator.errors.exceptions.vector_store.vector_store_exceptions import \ - GenAIUnknownVectorStoreProviderSettingException +from gen_ai_orchestrator.errors.exceptions.observability.observability_exceptions import ( + GenAIUnknownObservabilityProviderSettingException, +) +from gen_ai_orchestrator.errors.exceptions.vector_store.vector_store_exceptions import ( + GenAIUnknownVectorStoreProviderSettingException, +) +from gen_ai_orchestrator.models.contextual_compressor.compressor_provider import ( + ContextualCompressorProvider, +) from gen_ai_orchestrator.models.em.azureopenai.azure_openai_em_setting import ( AzureOpenAIEMSetting, ) +from gen_ai_orchestrator.models.em.bloomz.bloomz_em_setting import ( + BloomzEMSetting, +) from gen_ai_orchestrator.models.em.em_provider import EMProvider from gen_ai_orchestrator.models.em.openai.openai_em_setting import ( OpenAIEMSetting, ) +from gen_ai_orchestrator.models.guardrail.guardrail_provider import ( + GuardrailProvider, +) from gen_ai_orchestrator.models.llm.azureopenai.azure_openai_llm_setting import ( AzureOpenAILLMSetting, ) @@ -39,22 +50,51 @@ from gen_ai_orchestrator.models.llm.openai.openai_llm_setting import ( OpenAILLMSetting, ) -from gen_ai_orchestrator.models.observability.observability_provider import ObservabilityProvider -from gen_ai_orchestrator.models.observability.observability_type import ObservabilitySetting -from gen_ai_orchestrator.models.vector_stores.open_search.open_search_setting import OpenSearchVectorStoreSetting -from gen_ai_orchestrator.models.vector_stores.pgvector.pgvector_setting import PGVectorStoreSetting -from gen_ai_orchestrator.services.langchain.factories.callback_handlers.langfuse_callback_handler_factory import \ - LangfuseCallbackHandlerFactory +from gen_ai_orchestrator.models.observability.langfuse.langfuse_setting import ( + LangfuseObservabilitySetting, +) +from gen_ai_orchestrator.models.observability.observability_provider import ( + ObservabilityProvider, +) +from gen_ai_orchestrator.models.observability.observability_type import ( + ObservabilitySetting, +) +from gen_ai_orchestrator.models.vector_stores.open_search.open_search_setting import ( + OpenSearchVectorStoreSetting, +) +from gen_ai_orchestrator.models.vector_stores.pgvector.pgvector_setting import ( + PGVectorStoreSetting, +) +from gen_ai_orchestrator.models.vector_stores.vectore_store_provider import ( + VectorStoreProvider, +) +from gen_ai_orchestrator.services.langchain.factories.callback_handlers.langfuse_callback_handler_factory import ( + LangfuseCallbackHandlerFactory, +) +from gen_ai_orchestrator.services.langchain.factories.contextual_compressor.bloomz_compressor_factory import ( + BloomzCompressorFactory, + BloomzCompressorSetting, +) from gen_ai_orchestrator.services.langchain.factories.em.azure_openai_em_factory import ( AzureOpenAIEMFactory, ) +from gen_ai_orchestrator.services.langchain.factories.em.bloomz_em_factory import ( + BloomzEMFactory, +) from gen_ai_orchestrator.services.langchain.factories.em.openai_em_factory import ( OpenAIEMFactory, ) +from gen_ai_orchestrator.services.langchain.factories.guardrail.bloomz_guardrail_factory import ( + BloomzGuardrailFactory, + BloomzGuardrailSetting, +) from gen_ai_orchestrator.services.langchain.factories.langchain_factory import ( + get_callback_handler_factory, + get_compressor_factory, get_em_factory, + get_guardrail_factory, get_llm_factory, - get_vector_store_factory, get_callback_handler_factory, + get_vector_store_factory, ) from gen_ai_orchestrator.services.langchain.factories.llm.azure_openai_llm_factory import ( AzureOpenAILLMFactory, @@ -68,7 +108,9 @@ from gen_ai_orchestrator.services.langchain.factories.vector_stores.open_search_factory import ( OpenSearchFactory, ) -from gen_ai_orchestrator.services.langchain.factories.vector_stores.pgvector_factory import PGVectorFactory +from gen_ai_orchestrator.services.langchain.factories.vector_stores.pgvector_factory import ( + PGVectorFactory, +) def test_get_unknown_llm_factory(): @@ -178,6 +220,20 @@ def test_get_azure_open_ai_em_factory(): assert isinstance(azure_open_ai, AzureOpenAIEMFactory) +def test_get_bloomz_em_factory(): + bloomz = get_em_factory( + setting=BloomzEMSetting( + **{ + 'provider': 'Bloomz', + 'api_base': 'https://exemple.apibase', + 'pooling': 'last', + } + ) + ) + assert bloomz.setting.provider == EMProvider.BLOOMZ + assert isinstance(bloomz, BloomzEMFactory) + + def test_get_open_search_vector_store_factory(): em_factory = get_em_factory( setting=OpenAIEMSetting( @@ -202,11 +258,11 @@ def test_get_open_search_vector_store_factory(): 'type': 'Raw', 'value': 'ab7***************************A1IV4B', }, - 'username': 'admin' + 'username': 'admin', } ), index_name='my-index-name', - embedding_function=em_factory.get_embedding_model() + embedding_function=em_factory.get_embedding_model(), ) pgvector = get_vector_store_factory( setting=PGVectorStoreSetting( @@ -219,11 +275,11 @@ def test_get_open_search_vector_store_factory(): 'value': 'ab7***************************A1IV4B', }, 'username': 'postgres', - 'database': 'postgres' + 'database': 'postgres', } ), index_name='my-index-name', - embedding_function=em_factory.get_embedding_model() + embedding_function=em_factory.get_embedding_model(), ) assert isinstance(open_search, OpenSearchFactory) assert isinstance(pgvector, PGVectorFactory) @@ -234,7 +290,7 @@ def test_get_unknown_vector_store_factory(): get_vector_store_factory( setting='an incorrect vector store provider', index_name=None, - embedding_function=None + embedding_function=None, ) @@ -253,9 +309,35 @@ def test_get_langfuse_observability_factory(): 'value': 'ab7***************************A1IV4B', }, 'public_key': 'df41*********f', - 'url': 'https://myServer:3000' + 'url': 'https://myServer:3000', } ) ) assert langfuse_factory.setting.provider == ObservabilityProvider.LANGFUSE assert isinstance(langfuse_factory, LangfuseCallbackHandlerFactory) + + +def test_get_bloomz_guardrail_factory(): + guardrail = get_guardrail_factory( + setting=BloomzGuardrailSetting( + provider='BloomzGuardrail', api_base='http://guardrail.com', max_score=0.6 + ) + ) + + assert guardrail.setting.provider == GuardrailProvider.BLOOMZ + assert isinstance(guardrail, BloomzGuardrailFactory) + + +def test_get_bloomz_compressor_factory(): + compressor = get_compressor_factory( + setting=BloomzCompressorSetting( + provider='BloomzRerank', + min_score=0.5, + endpoint='http://compressor.com', + max_documents=25, + label='label', + ) + ) + + assert compressor.setting.provider == ContextualCompressorProvider.BLOOMZ + assert isinstance(compressor, BloomzCompressorFactory) diff --git a/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py b/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py index 6a8da1fea3..07cd884b2f 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py +++ b/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py @@ -12,29 +12,43 @@ # See the License for the specific language governing permissions and # limitations under the License. # -from unittest.mock import patch, AsyncMock +import os +from unittest.mock import AsyncMock, MagicMock, patch import pytest +from fastapi import HTTPException +from langchain_core.documents import Document from langchain_core.messages import AIMessage, HumanMessage +from requests.exceptions import HTTPError from gen_ai_orchestrator.errors.exceptions.exceptions import ( GenAIGuardCheckException, + GenAIUnknownLabelException, +) +from gen_ai_orchestrator.models.guardrail.bloomz.bloomz_guardrail_setting import ( + BloomzGuardrailSetting, ) from gen_ai_orchestrator.models.vector_stores.vectore_store_provider import ( VectorStoreProvider, ) from gen_ai_orchestrator.routers.requests.requests import RagQuery +from gen_ai_orchestrator.services.contextual_compressor.bloomz_rerank import ( + BloomzRerank, +) from gen_ai_orchestrator.services.langchain import rag_chain from gen_ai_orchestrator.services.langchain.callbacks.retriever_json_callback_handler import ( RetrieverJsonCallbackHandler, ) +from gen_ai_orchestrator.services.langchain.factories.langchain_factory import ( + get_guardrail_factory, +) from gen_ai_orchestrator.services.langchain.rag_chain import ( + check_guardrail_output, execute_qa_chain, get_condense_question, get_llm_prompts, ) - # 'Mock an item where it is used, not where it came from.' # (https://www.toptal.com/python/an-introduction-to-mocking-in-python) # See https://docs.python.org/3/library/unittest.mock.html#where-to-patch @@ -43,7 +57,15 @@ # @patch('llm_orchestrator.services.langchain.factories.langchain_factory.get_llm_factory') # --> But where it is used (in the execute_qa_chain method of the llm_orchestrator.services.langchain.rag_chain # module that imports get_llm_factory): -@patch('gen_ai_orchestrator.services.langchain.factories.langchain_factory.get_callback_handler_factory') + + +@patch( + 'gen_ai_orchestrator.services.langchain.rag_chain.ContextualCompressionRetriever' +) +@patch('gen_ai_orchestrator.services.contextual_compressor.bloomz_rerank.requests.post') +@patch( + 'gen_ai_orchestrator.services.langchain.factories.langchain_factory.get_callback_handler_factory' +) @patch('gen_ai_orchestrator.services.langchain.rag_chain.get_llm_factory') @patch('gen_ai_orchestrator.services.langchain.rag_chain.get_em_factory') @patch('gen_ai_orchestrator.services.langchain.rag_chain.get_vector_store_factory') @@ -70,7 +92,9 @@ async def test_rag_chain( mocked_get_vector_store_factory, mocked_get_em_factory, mocked_get_llm_factory, - mocked_get_callback_handler_factory + mocked_get_callback_handler_factory, + mocked_guardrail_parse, + mocked_compressor_builder, ): """Test the full execute_qa_chain method by mocking all external calls.""" # Build a test RagQuery @@ -128,17 +152,27 @@ async def test_rag_chain( 'password': { 'type': 'Raw', 'value': 'admin', - } + }, }, 'observability_setting': { 'provider': 'Langfuse', 'url': 'http://localhost:3000', 'secret_key': { - 'type': 'Raw', - 'value': 'sk-lf-93c4f78f-4096-416b-a6e3-ceabe45abe8f' + 'type': 'Raw', + 'value': 'sk-lf-93c4f78f-4096-416b-a6e3-ceabe45abe8f', }, - 'public_key': 'pk-lf-5e374dc6-e194-4b37-9c07-b77e68ef7d2c' - } + 'public_key': 'pk-lf-5e374dc6-e194-4b37-9c07-b77e68ef7d2c', + }, + 'guardrail_setting': { + 'provider': 'BloomzGuardrail', + 'api_base': 'http://test-guard.com', + 'max_score': 0.5, + }, + 'compressor_setting': { + 'provider': 'BloomzRerank', + 'min_score': 0.7, + 'endpoint': 'http://test-rerank.com', + }, } query = RagQuery(**query_dict) @@ -149,10 +183,19 @@ async def test_rag_chain( vector_store_factory_instance = mocked_get_vector_store_factory.return_value mocked_chain = mocked_chain_builder.return_value mocked_callback = mocked_callback_init.return_value + mocked_compressor = mocked_compressor_builder.return_value mocked_langfuse_callback = observability_factory_instance.get_callback_handler() - mocked_chain.ainvoke = AsyncMock(return_value={'answer': 'an answer from llm', 'source_documents': []}) + mocked_chain.ainvoke = AsyncMock( + return_value={'answer': 'an answer from llm', 'source_documents': []} + ) mocked_rag_answer = mocked_chain.ainvoke.return_value + mocked_response = MagicMock() + mocked_response.status_code = 200 + mocked_response.content = {'response': []} + + mocked_guardrail_parse.return_value = mocked_response + # Call function await execute_qa_chain(query, debug=True) @@ -166,15 +209,16 @@ async def test_rag_chain( mocked_get_vector_store_factory.assert_called_once_with( setting=query.vector_store_setting, index_name=query.document_index_name, - embedding_function=em_factory_instance.get_embedding_model() + embedding_function=em_factory_instance.get_embedding_model(), ) mocked_get_callback_handler_factory.assert_called_once_with( setting=query.observability_setting ) + # Assert LangChain qa chain is created using the expected settings from query mocked_chain_builder.assert_called_once_with( llm=llm_factory_instance.get_language_model(), - retriever=vector_store_factory_instance.get_vector_store_retriever(), + retriever=mocked_compressor, return_source_documents=True, return_generated_question=True, combine_docs_chain_kwargs={ @@ -205,6 +249,213 @@ async def test_rag_chain( debug=mocked_rag_debug_data(query, mocked_rag_answer, mocked_callback, 1), ) + mocked_guardrail_parse.assert_called_once_with( + os.path.join(query.guardrail_setting.api_base, 'guardrail'), + json={'text': [mocked_rag_answer['answer']]}, + ) + mocked_compressor_builder.assert_called_once() + + +@patch('gen_ai_orchestrator.services.guardrail.bloomz_guardrail.requests.post') +def test_guardrail_parse_succeed_with_toxicities_encountered( + mocked_guardrail_response, +): + guardrail = get_guardrail_factory( + BloomzGuardrailSetting( + provider='BloomzGuardrail', max_score=0.5, api_base='http://test-guard.com' + ) + ).get_parser() + rag_response = {'answer': 'This is a sample text.'} + + mocked_response = MagicMock() + mocked_response.status_code = 200 + mocked_response.json.return_value = { + 'response': [ + [ + {'label': 'racism', 'score': 0.1}, + {'label': 'insult', 'score': 0.2}, + {'label': 'threat', 'score': 0.7}, + {'label': 'hate speech', 'score': 0.95}, + ] + ] + } + + mocked_guardrail_response.return_value = mocked_response + guardrail_output = guardrail.parse(rag_response['answer']) + + mocked_guardrail_response.assert_called_once_with( + os.path.join(guardrail.endpoint, 'guardrail'), + json={'text': [rag_response['answer']]}, + ) + assert guardrail_output == { + 'content': 'This is a sample text.', + 'output_toxicity': True, + 'output_toxicity_reason': ['threat', 'hate speech'], + } + + +@patch('gen_ai_orchestrator.services.guardrail.bloomz_guardrail.requests.post') +def test_guardrail_parse_fail(mocked_guardrail_response): + guardrail = get_guardrail_factory( + BloomzGuardrailSetting( + provider='BloomzGuardrail', max_score=0.5, api_base='http://test-guard.com' + ) + ).get_parser() + rag_response = {'answer': 'This is a sample text.'} + + mocked_response = MagicMock() + mocked_response.status_code = 500 + mocked_guardrail_response.return_value = mocked_response + + with pytest.raises( + HTTPError, + match=f"Error {mocked_response.status_code}. Bloomz guardrail didn't respond as expected.", + ): + guardrail.parse(rag_response['answer']) + + mocked_guardrail_response.assert_called_once_with( + os.path.join(guardrail.endpoint, 'guardrail'), + json={'text': [rag_response['answer']]}, + ) + + +@patch('gen_ai_orchestrator.services.contextual_compressor.bloomz_rerank.requests.post') +def test_compress_documents_should_succeed(mocked_rerank): + bloomz_reranker = BloomzRerank(label='entailement', endpoint='http://example.com') + documents = [ + Document( + page_content='Page content 1', + metadata={ + 'source': 'doc1.pdf', + 'file_path': 'doc1.pdf', + 'page': 57, + 'total_pages': 104, + 'Producer': 'GPL Ghostscript 9.05', + 'CreationDate': "D:20230828165103+02'00'", + 'ModDate': "D:20230828165103+02'00'", + 'Title': 'DGRC 2023 - ABEI', + 'Creator': 'PDFCreator Version 1.6.2', + 'Author': 'F9261', + 'Keywords': '', + 'Subject': '', + }, + ), + Document( + page_content='Contenu du document 8', + metadata={ + 'source': 'incident - v5.pdf', + 'file_path': 'incident - v5.pdf', + 'page': 19, + 'total_pages': 23, + 'Author': 'F0421', + 'CreationDate': "D:20231212161411+01'00'", + 'ModDate': "D:20231212161411+01'00'", + 'Producer': 'Microsoft: Print To PDF', + 'Title': "Microsoft Word - P1 - Département des Risques - Déclaration d'un incident - v5.doc", + }, + ), + ] + + mocked_response = MagicMock() + mocked_response.status_code = 200 + mocked_response.json.return_value = { + 'response': [ + [ + {'label': 'entailement', 'score': 0.1}, + {'label': 'neutral', 'score': 0.2}, + {'label': 'contradiction', 'score': 0.7}, + ], + [ + {'label': 'entailement', 'score': 0.8}, + {'label': 'neutral', 'score': 0.2}, + {'label': 'contradiction', 'score': 0.7}, + ], + ] + } + mocked_rerank.return_value = mocked_response + + result = bloomz_reranker.compress_documents(documents=documents, query='Some query') + + mocked_rerank.assert_called_once() + assert result == [ + Document( + page_content='Contenu du document 8', + metadata={ + 'source': 'incident - v5.pdf', + 'file_path': 'incident - v5.pdf', + 'page': 19, + 'total_pages': 23, + 'Author': 'F0421', + 'CreationDate': "D:20231212161411+01'00'", + 'ModDate': "D:20231212161411+01'00'", + 'Producer': 'Microsoft: Print To PDF', + 'Title': "Microsoft Word - P1 - Département des Risques - Déclaration d'un incident - v5.doc", + 'retriever_score': 0.8, + }, + ) + ] + + +@patch('gen_ai_orchestrator.services.contextual_compressor.bloomz_rerank.requests.post') +def test_compress_documents_with_unknown_label(mocked_rerank): + bloomz_reranker = BloomzRerank(label='unknown_label', endpoint='http://example.com') + documents = [ + Document( + page_content='Page content 1', + metadata={ + 'source': 'doc1.pdf', + }, + ), + Document( + page_content='Contenu du document 8', + metadata={ + 'source': 'incident - v5.pdf', + }, + ), + ] + + mocked_response = MagicMock() + mocked_response.status_code = 200 + mocked_response.json.return_value = { + 'response': [ + [ + {'label': 'entailement', 'score': 0.1}, + ] + ] + } + mocked_rerank.return_value = mocked_response + + with pytest.raises(GenAIUnknownLabelException) as exc: + bloomz_reranker.compress_documents(documents=documents, query='Some query') + + assert exc.value.error_code.value == 1006 + assert exc.value.message == 'Unknown label.' + assert exc.value.detail == 'Check the label you sent.' + + +def test_check_guardrail_output_find_toxicities(): + guardrail_output = { + 'content': 'This is a sample text.', + 'output_toxicity': True, + 'output_toxicity_reason': ['threat', 'hate speech'], + } + + with pytest.raises(GenAIGuardCheckException) as exc_found: + check_guardrail_output(guardrail_output) + + assert exc_found.value.error_code.value == 1004 + assert 'Guard check failed.' in exc_found.value.message + + +def test_check_guardrail_output_is_ok(): + guardrail_output = { + 'content': 'This is a sample text.', + 'output_toxicity': False, + 'output_toxicity_reason': [], + } + + assert check_guardrail_output(guardrail_output) is True + def test_find_input_variables(): template = 'This is a {sample} text with {multiple} curly brace sections' diff --git a/gen-ai/orchestrator-server/src/main/python/server/tox.ini b/gen-ai/orchestrator-server/src/main/python/server/tox.ini index 8bef8b0357..cd9d42a770 100644 --- a/gen-ai/orchestrator-server/src/main/python/server/tox.ini +++ b/gen-ai/orchestrator-server/src/main/python/server/tox.ini @@ -1,5 +1,5 @@ [tox] -envlist = py39 +envlist = py310 skipsdist = True [testenv] diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/embeddings_bloomz_settings.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/embeddings_bloomz_settings.json new file mode 100644 index 0000000000..e1acf91fec --- /dev/null +++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/embeddings_bloomz_settings.json @@ -0,0 +1,7 @@ +{ + "provider": "Bloomz", + "api_key": null, + "api_base": "http://localhost:8081", + "pooling": "last", + "space_type": "l2" +} \ No newline at end of file diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/vector_store_pgvector_settings.example.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/vector_store_pgvector_settings.example.json index 0ae3506b4e..50e4cc38f0 100644 --- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/vector_store_pgvector_settings.example.json +++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/examples/vector_store_pgvector_settings.example.json @@ -1,11 +1,11 @@ { "provider": "PGVector", "host": "127.0.0.1", - "port": 5432, + "port": 5433, "username": "postgres", "password": { "type": "Raw", - "value": "postgres" + "value": "ChangeMe" }, "database": "postgres" } \ No newline at end of file diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/index_documents.py b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/index_documents.py index 49d93fd1a2..aa4b07a8f7 100644 --- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/index_documents.py +++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/index_documents.py @@ -59,6 +59,7 @@ import pandas as pd from docopt import docopt from gen_ai_orchestrator.models.em.azureopenai.azure_openai_em_setting import AzureOpenAIEMSetting +from gen_ai_orchestrator.models.em.bloomz.bloomz_em_setting import BloomzEMSetting from gen_ai_orchestrator.models.em.ollama.ollama_em_setting import OllamaEMSetting from gen_ai_orchestrator.models.em.em_provider import EMProvider from gen_ai_orchestrator.models.em.em_setting import BaseEMSetting @@ -135,6 +136,7 @@ async def index_documents(args): EMProvider.OPEN_AI: OpenAIEMSetting, EMProvider.AZURE_OPEN_AI_SERVICE: AzureOpenAIEMSetting, EMProvider.OLLAMA: OllamaEMSetting, + EMProvider.BLOOMZ: BloomzEMSetting, }, base_class=BaseEMSetting ) diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/poetry.lock b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/poetry.lock index f330a9d048..ac62101cfb 100644 --- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/poetry.lock +++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/poetry.lock @@ -13,102 +13,102 @@ files = [ [[package]] name = "aiohttp" -version = "3.10.9" +version = "3.10.10" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8b3fb28a9ac8f2558760d8e637dbf27aef1e8b7f1d221e8669a1074d1a266bb2"}, - {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = 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