From 0829d7cd906954263465f3d26ac44d0ddd8a1726 Mon Sep 17 00:00:00 2001 From: "Gerard@msft" <99283778+gjwoods@users.noreply.github.com> Date: Sun, 22 Oct 2023 19:53:07 -0700 Subject: [PATCH 01/14] [Open_Source_LLM] Add Icon + MIR Telemetry Attribution + Fix Tests (#825) # Description Add icon of open source llm, and attribute MIR telemetry, and fix unit tests. # All Promptflow Contribution checklist: - [x] **The pull request does not introduce [breaking changes].** - [x] **CHANGELOG is updated for new features, bug fixes or other significant changes.** - [x] **I have read the [contribution guidelines](../CONTRIBUTING.md).** - [x] **Create an issue and link to the pull request to get dedicated review from promptflow team. Learn more: [suggested workflow](../CONTRIBUTING.md#suggested-workflow).** ## General Guidelines and Best Practices - [x] Title of the pull request is clear and informative. - [x] There are a small number of commits, each of which have an informative message. This means that previously merged commits do not appear in the history of the PR. For more information on cleaning up the commits in your PR, [see this page](https://github.com/Azure/azure-powershell/blob/master/documentation/development-docs/cleaning-up-commits.md). ### Testing Guidelines - [x] Pull request includes test coverage for the included changes. --------- Co-authored-by: Gerard --- .../promptflow/tools/open_source_llm.py | 10 +++- .../tools/yamls/open_source_llm.yaml | 1 + src/promptflow-tools/tests/conftest.py | 30 +++++++++++- .../tests/test_open_source_llm.py | 49 ++++++------------- 4 files changed, 53 insertions(+), 37 deletions(-) diff --git a/src/promptflow-tools/promptflow/tools/open_source_llm.py b/src/promptflow-tools/promptflow/tools/open_source_llm.py index c05b7bf202c..a946f0de706 100644 --- a/src/promptflow-tools/promptflow/tools/open_source_llm.py +++ b/src/promptflow-tools/promptflow/tools/open_source_llm.py @@ -22,7 +22,7 @@ ChatAPIInvalidRole ) -VALID_LLAMA_ROLES = {"user", "assistant"} +VALID_LLAMA_ROLES = {"system", "user", "assistant"} REQUIRED_CONFIG_KEYS = ["endpoint_url", "model_family"] REQUIRED_SECRET_KEYS = ["endpoint_api_key"] DEFAULT_ENDPOINT_NAME = "-- please enter an endpoint name --" @@ -385,6 +385,7 @@ def __init__( endpoint_url: str, endpoint_api_key: str, content_formatter: ContentFormatterBase, + model_family: ModelFamily, deployment_name: Optional[str] = None, model_kwargs: Optional[Dict] = None, ): @@ -393,6 +394,7 @@ def __init__( self.deployment_name = deployment_name self.content_formatter = content_formatter self.model_kwargs = model_kwargs + self.model_family = model_family @property def _identifying_params(self) -> Mapping[str, Any]: @@ -410,7 +412,10 @@ def _llm_type(self) -> str: def _call_endpoint(self, body: bytes) -> bytes: """call.""" - headers = {"Content-Type": "application/json", "Authorization": ("Bearer " + self.endpoint_api_key)} + headers = { + "Content-Type": "application/json", + "Authorization": ("Bearer " + self.endpoint_api_key), + "x-ms-user-agent": "PromptFlow/OpenSourceLLM/" + self.model_family} # If this is not set it'll use the default deployment on the endpoint. if self.deployment_name is not None: @@ -489,6 +494,7 @@ def call( llm = AzureMLOnlineEndpoint( endpoint_url=self.endpoint_uri, endpoint_api_key=self.endpoint_key, + model_family=self.model_family, content_formatter=content_formatter, deployment_name=self.deployment_name, model_kwargs=model_kwargs diff --git a/src/promptflow-tools/promptflow/tools/yamls/open_source_llm.yaml b/src/promptflow-tools/promptflow/tools/yamls/open_source_llm.yaml index d5221244ae7..120aee91ca8 100644 --- a/src/promptflow-tools/promptflow/tools/yamls/open_source_llm.yaml +++ b/src/promptflow-tools/promptflow/tools/yamls/open_source_llm.yaml @@ -1,6 +1,7 @@ promptflow.tools.open_source_llm.OpenSourceLLM.call: name: Open Source LLM description: Use an Open Source model from the Azure Model catalog, deployed to an AzureML Online Endpoint for LLM Chat or Completion API calls. + icon: data:image/png;base64,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 type: custom_llm module: promptflow.tools.open_source_llm class_name: OpenSourceLLM diff --git a/src/promptflow-tools/tests/conftest.py b/src/promptflow-tools/tests/conftest.py index 0ec4f53865d..5ae09f25c73 100644 --- a/src/promptflow-tools/tests/conftest.py +++ b/src/promptflow-tools/tests/conftest.py @@ -1,9 +1,9 @@ import json import os +import pytest import sys -from pathlib import Path -import pytest +from pathlib import Path from pytest_mock import MockerFixture # noqa: E402 # Avoid circular dependencies: Use import 'from promptflow._internal' instead of 'from promptflow' # since the code here is in promptflow namespace as well @@ -45,6 +45,28 @@ def serp_connection(): return ConnectionManager().get("serp_connection") +def verify_oss_llm_custom_connection(connection: CustomConnection) -> bool: + '''Verify that there is a MIR endpoint up and available for the Custom Connection. + We explicitly do not pass the endpoint key to avoid the delay in generating a response. + ''' + + import urllib.request + from urllib.request import HTTPError + from urllib.error import URLError + + try: + urllib.request.urlopen( + urllib.request.Request(connection.configs['endpoint_url']), + timeout=50) + except HTTPError as e: + # verify that the connection is not authorized, anything else would mean the endpoint is failed + return e.code == 403 + except URLError: + # Endpoint does not exist - skip the test + return False + raise Exception("Task Succeeded unexpectedly.") + + @pytest.fixture def gpt2_custom_connection(): return ConnectionManager().get("gpt2_connection") @@ -68,6 +90,10 @@ def skip_if_no_key(request, mocker): elif isinstance(connection, CustomConnection): if "endpoint_api_key" not in connection.secrets or "-api-key" in connection.secrets["endpoint_api_key"]: pytest.skip('skipped because no key') + # Verify Custom Connections, but only those used by the Open_Source_LLM Tool + if "endpoint_url" in connection.configs and "-endpoint-url" not in connection.configs["endpoint_url"]: + if not verify_oss_llm_custom_connection(connection): + pytest.skip('skipped because the connection is not valid') # example prompts diff --git a/src/promptflow-tools/tests/test_open_source_llm.py b/src/promptflow-tools/tests/test_open_source_llm.py index 924329df4ab..2d7ef1fa4ea 100644 --- a/src/promptflow-tools/tests/test_open_source_llm.py +++ b/src/promptflow-tools/tests/test_open_source_llm.py @@ -22,13 +22,13 @@ def llama_chat_provider(llama_chat_custom_connection) -> OpenSourceLLM: class TestOpenSourceLLM: completion_prompt = "In the context of Azure ML, what does the ML stand for?" - gpt2_chat_prompt = """user: + gpt2_chat_prompt = """system: You are a AI which helps Customers answer questions. user: """ + completion_prompt - llama_chat_prompt = """user: + llama_chat_prompt = """system: You are a AI which helps Customers answer questions. """ + completion_prompt @@ -44,7 +44,7 @@ def test_open_source_llm_completion(self, gpt2_provider): def test_open_source_llm_completion_with_deploy(self, gpt2_custom_connection): os_tool = OpenSourceLLM( gpt2_custom_connection, - deployment_name="gpt2-8") + deployment_name="gpt2-9") response = os_tool.call( self.completion_prompt, API.COMPLETION) @@ -61,7 +61,7 @@ def test_open_source_llm_chat(self, gpt2_provider): def test_open_source_llm_chat_with_deploy(self, gpt2_custom_connection): os_tool = OpenSourceLLM( gpt2_custom_connection, - deployment_name="gpt2-8") + deployment_name="gpt2-9") response = os_tool.call( self.gpt2_chat_prompt, API.CHAT) @@ -130,23 +130,6 @@ def test_open_source_llm_llama_parse_multi_turn(self): """ LlamaContentFormatter.parse_chat(multi_turn_chat) - def test_open_source_llm_llama_parse_system_not_accepted(self): - bad_chat_prompt = """system: -You are a AI which helps Customers answer questions. - -user: -""" + self.completion_prompt - with pytest.raises(OpenSourceLLMUserError) as exc_info: - LlamaContentFormatter.parse_chat(bad_chat_prompt) - assert exc_info.value.message == ( - "The Chat API requires a specific format for prompt definition," - + " and the prompt should include separate lines as role delimiters: 'assistant:\\n','user:\\n'." - + " Current parsed role 'system' does not meet the requirement. If you intend to use the Completion " - + "API, please select the appropriate API type and deployment name. If you do intend to use the Chat " - + "API, please refer to the guideline at https://aka.ms/pfdoc/chat-prompt or view the samples in our " - + "gallery that contain 'Chat' in the name.") - assert exc_info.value.error_codes == "UserError/OpenSourceLLMUserError".split("/") - def test_open_source_llm_llama_parse_ignore_whitespace(self): bad_chat_prompt = f"""system: You are a AI which helps Customers answer questions. @@ -158,24 +141,24 @@ def test_open_source_llm_llama_parse_ignore_whitespace(self): with pytest.raises(OpenSourceLLMUserError) as exc_info: LlamaContentFormatter.parse_chat(bad_chat_prompt) assert exc_info.value.message == ( - "The Chat API requires a specific format for prompt definition, and " - + "the prompt should include separate lines as role delimiters: 'assistant:\\n','user:\\n'. Current parsed " - + "role 'system' does not meet the requirement. If you intend to use the Completion API, please select the " - + "appropriate API type and deployment name. If you do intend to use the Chat API, please refer to the " - + "guideline at https://aka.ms/pfdoc/chat-prompt or view the samples in our gallery that contain 'Chat' " - + "in the name.") + "The Chat API requires a specific format for prompt definition, and the prompt should include separate " + + "lines as role delimiters: 'assistant:\\n','system:\\n','user:\\n'. Current parsed role 'in the context " + + "of azure ml, what does the ml stand for?' does not meet the requirement. If you intend to use the " + + "Completion API, please select the appropriate API type and deployment name. If you do intend to use " + + "the Chat API, please refer to the guideline at https://aka.ms/pfdoc/chat-prompt or view the samples in " + + "our gallery that contain 'Chat' in the name.") assert exc_info.value.error_codes == "UserError/OpenSourceLLMUserError".split("/") def test_open_source_llm_llama_parse_chat_with_comp(self): with pytest.raises(OpenSourceLLMUserError) as exc_info: LlamaContentFormatter.parse_chat(self.completion_prompt) assert exc_info.value.message == ( - "The Chat API requires a specific format for prompt definition, and " - + "the prompt should include separate lines as role delimiters: 'assistant:\\n','user:\\n'. Current parsed " - + "role 'in the context of azure ml, what does the ml stand for?' does not meet the requirement. If you " - + "intend to use the Completion API, please select the appropriate API type and deployment name. If you do " - + "intend to use the Chat API, please refer to the guideline at https://aka.ms/pfdoc/chat-prompt or view " - + "the samples in our gallery that contain 'Chat' in the name.") + "The Chat API requires a specific format for prompt definition, and the prompt should include separate " + + "lines as role delimiters: 'assistant:\\n','system:\\n','user:\\n'. Current parsed role 'in the context " + + "of azure ml, what does the ml stand for?' does not meet the requirement. If you intend to use the " + + "Completion API, please select the appropriate API type and deployment name. If you do intend to use the " + + "Chat API, please refer to the guideline at https://aka.ms/pfdoc/chat-prompt or view the samples in our " + + "gallery that contain 'Chat' in the name.") assert exc_info.value.error_codes == "UserError/OpenSourceLLMUserError".split("/") @pytest.mark.skip_if_no_key("gpt2_custom_connection") From 48fa534f369550fe4b3d8fddd685d87880ae6e63 Mon Sep 17 00:00:00 2001 From: Han Wang Date: Mon, 23 Oct 2023 11:23:52 +0800 Subject: [PATCH 02/14] [Sample]Improve chat with pdf ci time by 2x (#840) # Description Please add an informative description that covers that changes made by the pull request and link all relevant issues. Cached predownloaded PDFs and prebuilt FAISS Index to avoid duplicated calculation. Used same config to avoid index building under different config. ![image](https://github.com/microsoft/promptflow/assets/7776147/eada118b-a6c8-4f8b-8a54-70b19ce9d8fe) # All Promptflow Contribution checklist: - [ ] **The pull request does not introduce [breaking changes].** - [ ] **CHANGELOG is updated for new features, bug fixes or other significant changes.** - [ ] **I have read the [contribution guidelines](../CONTRIBUTING.md).** - [ ] **Create an issue and link to the pull request to get dedicated review from promptflow team. Learn more: [suggested workflow](../CONTRIBUTING.md#suggested-workflow).** ## General Guidelines and Best Practices - [ ] Title of the pull request is clear and informative. - [ ] There are a small number of commits, each of which have an informative message. This means that previously merged commits do not appear in the history of the PR. For more information on cleaning up the commits in your PR, [see this page](https://github.com/Azure/azure-powershell/blob/master/documentation/development-docs/cleaning-up-commits.md). ### Testing Guidelines - [ ] Pull request includes test coverage for the included changes. --- .gitignore | 4 ++++ examples/flows/chat/chat-with-pdf/README.md | 3 +++ .../chat/chat-with-pdf/chat-with-pdf.ipynb | 11 +++++++---- .../index.faiss | Bin 0 -> 411693 bytes .../index.pkl | Bin 0 -> 69697 bytes .../index.faiss | Bin 0 -> 147501 bytes .../index.pkl | Bin 0 -> 53160 bytes ...n_docs_2018-03_20180301083100898652.pdf.pdf | Bin 0 -> 953185 bytes .../chat-with-pdf/chat_with_pdf/build_index.py | 7 ++++++- .../chat-with-pdf/chat_with_pdf/constants.py | 5 +++++ .../chat-with-pdf/chat_with_pdf/download.py | 3 ++- .../chat/chat-with-pdf/chat_with_pdf/main.py | 9 +++++---- .../flows/chat/chat-with-pdf/flow.dag.yaml | 2 +- examples/flows/chat/chat-with-pdf/setup_env.py | 12 +++++++----- .../chat/chat-with-pdf/tests/base_test.py | 4 ++-- 15 files changed, 42 insertions(+), 18 deletions(-) create mode 100644 examples/flows/chat/chat-with-pdf/chat_with_pdf/.index/.pdfs/https___arxiv.org_pdf_1810.04805.pdf.pdf.index_1024_64/index.faiss create mode 100644 examples/flows/chat/chat-with-pdf/chat_with_pdf/.index/.pdfs/https___arxiv.org_pdf_1810.04805.pdf.pdf.index_1024_64/index.pkl create mode 100644 examples/flows/chat/chat-with-pdf/chat_with_pdf/.index/.pdfs/https___grs.pku.edu.cn_docs_2018-03_20180301083100898652.pdf.pdf.index_1024_64/index.faiss create mode 100644 examples/flows/chat/chat-with-pdf/chat_with_pdf/.index/.pdfs/https___grs.pku.edu.cn_docs_2018-03_20180301083100898652.pdf.pdf.index_1024_64/index.pkl create mode 100644 examples/flows/chat/chat-with-pdf/chat_with_pdf/.pdfs/https___grs.pku.edu.cn_docs_2018-03_20180301083100898652.pdf.pdf create mode 100644 examples/flows/chat/chat-with-pdf/chat_with_pdf/constants.py diff --git a/.gitignore b/.gitignore index 5788b4be7e5..6236b9c9db3 100644 --- a/.gitignore +++ b/.gitignore @@ -182,3 +182,7 @@ scripts/docs/_build/ .pdfs config.json src/promptflow/promptflow/azure/_restclient/swagger.json + +# chat-with-pdf's prebuilt index +!.pdfs/ +!.index/ diff --git a/examples/flows/chat/chat-with-pdf/README.md b/examples/flows/chat/chat-with-pdf/README.md index ba1759e7219..2a36d62745d 100644 --- a/examples/flows/chat/chat-with-pdf/README.md +++ b/examples/flows/chat/chat-with-pdf/README.md @@ -33,6 +33,9 @@ fi #### Run flow +**Note**: this sample uses [predownloaded PDFs](./chat_with_pdf/.pdfs/) and [prebuilt FAISS Index](./chat_with_pdf/.index/) to speed up execution time. +You can remove the folders to start a fresh run. + ```bash # test with default input value in flow.dag.yaml pf flow test --flow . diff --git a/examples/flows/chat/chat-with-pdf/chat-with-pdf.ipynb b/examples/flows/chat/chat-with-pdf/chat-with-pdf.ipynb index 1f9692e57f4..6b9d57e6075 100644 --- a/examples/flows/chat/chat-with-pdf/chat-with-pdf.ipynb +++ b/examples/flows/chat/chat-with-pdf/chat-with-pdf.ipynb @@ -91,7 +91,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Test the flow" + "## 2. Test the flow\n", + "\n", + "**Note**: this sample uses [predownloaded PDFs](./chat_with_pdf/.pdfs/) and [prebuilt FAISS Index](./chat_with_pdf/.index/) to speed up execution time.\n", + "You can remove the folders to start a fresh run." ] }, { @@ -135,7 +138,7 @@ " \"MAX_COMPLETION_TOKENS\": 256,\n", " \"VERBOSE\": True,\n", " \"CHUNK_SIZE\": 256,\n", - " \"CHUNK_OVERLAP\": 32,\n", + " \"CHUNK_OVERLAP\": 64,\n", "}\n", "\n", "column_mapping = {\n", @@ -246,7 +249,7 @@ " \"MAX_COMPLETION_TOKENS\": 256,\n", " \"VERBOSE\": True,\n", " \"CHUNK_SIZE\": 256,\n", - " \"CHUNK_OVERLAP\": 32,\n", + " \"CHUNK_OVERLAP\": 64,\n", "}\n", "\n", "run_3k_context = pf.run(flow=flow_path, data=data_path, column_mapping=column_mapping)\n", @@ -312,7 +315,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.17" + "version": "3.9.12" } }, "nbformat": 4, diff --git 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