From b6a2bd98b72a860ebeb4d2ee32f0a65112f1066f Mon Sep 17 00:00:00 2001 From: Kyo Lee Date: Tue, 29 Oct 2024 03:34:18 +0000 Subject: [PATCH 1/2] [Docs Agent] Docs Agent release version 0.4.0 - **Multi-modal support:** The Docs Agent CLI supports image, audio, and video files as part of a prompt to the Gemini model. - **Formatted output:** Select the format of Docs Agent CLI's responses with the `--response_type json` and `--plaintext` options. - **Autocomplete script:** The `autocomplete.sh` script is added to include Docs Agent CLI commands and options, making it easier and faster to use the Docs Agent CLI on a terminal. --- .../docs-agent/docs_agent/models/palm.py | 176 ------------------ .../python/docs-agent/scripts/autocomplete.sh | 99 ++++++++++ .../describe-images-alt-text-no-markdown.yaml | 22 +++ .../describe-images-for-alt-text-task.yaml | 27 +++ .../tasks/prepare-podcast-from-dir.yaml | 19 ++ .../tasks/revise-content-structure-task.yaml | 15 ++ 6 files changed, 182 insertions(+), 176 deletions(-) delete mode 100644 examples/gemini/python/docs-agent/docs_agent/models/palm.py create mode 100644 examples/gemini/python/docs-agent/scripts/autocomplete.sh create mode 100644 examples/gemini/python/docs-agent/tasks/describe-images-alt-text-no-markdown.yaml create mode 100644 examples/gemini/python/docs-agent/tasks/describe-images-for-alt-text-task.yaml create mode 100644 examples/gemini/python/docs-agent/tasks/prepare-podcast-from-dir.yaml create mode 100644 examples/gemini/python/docs-agent/tasks/revise-content-structure-task.yaml diff --git a/examples/gemini/python/docs-agent/docs_agent/models/palm.py b/examples/gemini/python/docs-agent/docs_agent/models/palm.py deleted file mode 100644 index ad7e1aec5..000000000 --- a/examples/gemini/python/docs-agent/docs_agent/models/palm.py +++ /dev/null @@ -1,176 +0,0 @@ -# -# Copyright 2023 Google LLC -# -# 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. -# - -"""Rate limited PaLM wrapper""" - -import os - -import google.generativeai -from ratelimit import limits, sleep_and_retry -from typing import List - - -class Error(Exception): - """Base error class for palm""" - - -class PaLMNoAPIKeyError(Error, RuntimeError): - """Raised if no API key is provided nor found in environment variable.""" - - def __init__(self) -> None: - super().__init__( - "PaLM API key is not provided " - "or set in the environment variable PALM_API_KEY" - ) - - -class PaLMUnsupportedModelError(Error, RuntimeError): - """Raised if a specified model is not supported by the endpoint.""" - - def __init__(self, model, api_endpoint) -> None: - super().__init__( - f"The specified model {model} is not supported " - f"on the API endpoint {api_endpoint}" - ) - - -class PaLMNoModelError(Error, RuntimeError): - """Raised if calling an API but the corresponding model is not specified.""" - - def __init__(self, func_name, attr) -> None: - super().__init__( - f"Cannot call PaLM.{func_name}() since PaLM.{attr} is not set " - "during class initialization." - ) - - -class PaLM: - """Rate limited PaLM wrapper - - This class exposes PaLM's chat, text, and embedding API, but with a rate limit. - Besides the rate limit, the `chat` and `generate_text` method has the same name and - behavior as `google.generativeai.chat` and `google.generativeai.generate_text`, - respectively. The `embed` method is different from - `google.generativeai.generate_embeddings` since `embed` returns List[float] - while `google.generativeai.generate_embeddings` returns a dict. And that's why it - has a different name. - """ - - DEFAULT_ENDPOINT = "generativelanguage.googleapis.com" # Prod endpoint - MINUTE = 60 # seconds in a minute - MAX_EMBED_PER_MINUTE = 1500 - MAX_MESSAGE_PER_MINUTE = 30 - MAX_TEXT_PER_MINUTE = 30 - - def __init__( - self, - api_key=None, - api_endpoint=DEFAULT_ENDPOINT, - chat_model=None, - text_model=None, - content_model=None, - embed_model=None, - find_models=True, - ) -> None: - if api_key is None: - api_key = os.getenv("PALM_API_KEY") - if api_key is None: - raise PaLMNoAPIKeyError() - google.generativeai.configure( - api_key=api_key, client_options={"api_endpoint": api_endpoint} - ) - self.api_endpoint = api_endpoint - self.chat_model = chat_model - self.text_model = text_model - self.content_model = content_model - self.embed_model = embed_model - - # Check whether the specified models are supported - supported_models = set( - model.name for model in google.generativeai.list_models() - ) - for model in (chat_model, text_model, content_model, embed_model): - if model and model not in supported_models: - raise PaLMUnsupportedModelError(model, api_endpoint) - - # Check whether we need to find available models - if (not find_models) or ( - chat_model is not None - and text_model is not None - and content_model is not None - and embed_model is not None - ): - return - # Find available models - for model in google.generativeai.list_models(): - if ( - self.chat_model is None - and "generateMessage" in model.supported_generation_methods - and "chat" in model.name - ): - self.chat_model = model.name - if ( - self.text_model is None - and "generateText" in model.supported_generation_methods - ): - self.text_model = model.name - if ( - self.content_model is None - and "generateContent" in model.supported_generation_methods - ): - self.content_model = model.name - if self.embed_model is None and ( - "embedText" in model.supported_generation_methods - or "embedContent" in model.supported_generation_methods - ): - self.embed_model = model.name - - @sleep_and_retry - @limits(calls=MAX_MESSAGE_PER_MINUTE, period=MINUTE) - def chat(self, *args, **kwargs): - if self.chat_model is None: - raise PaLMNoModelError(func_name="chat", attr="chat_model") - return google.generativeai.chat(*args, model=self.chat_model, **kwargs) - - @sleep_and_retry - @limits(calls=MAX_TEXT_PER_MINUTE, period=MINUTE) - def generate_text(self, *args, **kwargs): - if self.text_model is None: - raise PaLMNoModelError(func_name="generate_text", attr="text_model") - return google.generativeai.generate_text(*args, model=self.text_model, **kwargs) - - @sleep_and_retry - @limits(calls=MAX_TEXT_PER_MINUTE, period=MINUTE) - def generate_content(self, text): - if self.content_model is None: - raise PaLMNoModelError(func_name="generate_content", attr="content_model") - model = google.generativeai.GenerativeModel(model_name=self.content_model) - return model.generate_content(text) - - @sleep_and_retry - @limits(calls=MAX_EMBED_PER_MINUTE, period=MINUTE) - def embed(self, text: str) -> List[float]: - if self.embed_model is None: - raise PaLMNoModelError(func_name="embed", attr="embed_model") - if self.embed_model == "models/embedding-001": - # Use the `embed_content()` method if it's the new Gemini embedding model. - return google.generativeai.embed_content( - model=self.embed_model, content=text - )["embedding"] - else: - return google.generativeai.generate_embeddings( - model=self.embed_model, text=text - )["embedding"] diff --git a/examples/gemini/python/docs-agent/scripts/autocomplete.sh b/examples/gemini/python/docs-agent/scripts/autocomplete.sh new file mode 100644 index 000000000..4447ea475 --- /dev/null +++ b/examples/gemini/python/docs-agent/scripts/autocomplete.sh @@ -0,0 +1,99 @@ +_script() +{ + local cur preset_list + + preset_list=" + agent + --help + backup-chroma + benchmark + chatbot + --hostname + --port + --debug + --app_mode + web + full + widget + widget-pro + experimental + --enable_show_logs + --enable_logs_to_markdown + --config_file + --product + chunk + cleanup-dev + delete-corpus + get-all-docs + helpme + --new + --cont + --file + --allfiles + --perfile + --response_type + json + x.enum + text + list-corpora + open-corpus + populate + posix + remove-corpus-permission + runtask + share-corpus + --name + --email + --role + --config_file + show-config + show-session + tellme + write-logs-to-csv + runtask + --task + --model + --custom_input + --plaintext + --force + --task_config + CheckCommitForDocUpdate + ExtractWorkflows + GenerateDocSet + DevSiteYAMLGenerator + HelpPolishPrompts + DraftReleaseNotes + ExamineChangesBetweenTwoCommits + ReviseContentStructure + IndexPageGenerator + DraftFuchsiaReleaseNotes + DraftPSA + PreparePodcasteFromDir + DescribeImages + DescribeImagesWithoutMarkdown + models/gemini-1.5-flash + models/gemini-1.5-flash-latest + models/gemini-1.5-flash-001 + models/gemini-1.5-flash-002 + models/gemini-1.5-flash-8b + models/gemini-1.5-flash-8b-latest + models/gemini-1.5-flash-8b-001 + models/gemini-1.5-pro + models/gemini-1.5-pro-latest + models/gemini-1.5-pro-001 + models/gemini-1.5-pro-002 + models/gemini-1.5-pro-exp-0827 + models/gemini-1.0-pro + models/gemini-1.0-pro-latest + models/gemini-1.0-pro-001 + models/aqa + " + + COMPREPLY=() + cur="${COMP_WORDS[COMP_CWORD]}" + COMPREPLY=( $(compgen -W "${preset_list}" -- ${cur}) ) + + return 0 +} +complete -o filenames -o nospace -o default -F _script agent + diff --git a/examples/gemini/python/docs-agent/tasks/describe-images-alt-text-no-markdown.yaml b/examples/gemini/python/docs-agent/tasks/describe-images-alt-text-no-markdown.yaml new file mode 100644 index 000000000..8bda27d4a --- /dev/null +++ b/examples/gemini/python/docs-agent/tasks/describe-images-alt-text-no-markdown.yaml @@ -0,0 +1,22 @@ +tasks: + - name: "DescribeImagesWithoutMarkdown" + model: "models/gemini-1.5-flash" + description: "An agent that describes each image in the input directory to help write alt text." + preamble: "When describing an image, keep it short and concise, and focus on the essence of the image." + steps: + - prompt: "Provide a concise, descriptive alt text for this JPEG image that captures its essence and is suitable for users with visual impairments." + flags: + perfile: "" + default_input: "./docs" + file_ext: "jpg" + - prompt: "Provide a concise, descriptive alt text for this PNG image that captures its essence and is suitable for users with visual impairments." + flags: + perfile: "" + default_input: "./docs" + file_ext: "png" + - prompt: "Provide a concise, descriptive alt text for this GIF image that captures its essence and is suitable for users with visual impairments." + flags: + perfile: "" + default_input: "./docs" + file_ext: "gif" + diff --git a/examples/gemini/python/docs-agent/tasks/describe-images-for-alt-text-task.yaml b/examples/gemini/python/docs-agent/tasks/describe-images-for-alt-text-task.yaml new file mode 100644 index 000000000..b93385d5c --- /dev/null +++ b/examples/gemini/python/docs-agent/tasks/describe-images-for-alt-text-task.yaml @@ -0,0 +1,27 @@ +tasks: + - name: "DescribeImages" + model: "models/gemini-1.5-flash" + description: "An agent that describes each image in the input directory to help write alt text." + preamble: "When describing an image, limit the description to 80 or less characters." + steps: + - prompt: "Provide a brief description of each Markdown file in this directory, emphasizing the key content and purpose of each file." + flags: + allfiles: "" + default_input: "./docs" + file_ext: "md" + - prompt: "Using the Markdown descriptions as context, provide a concise, descriptive alt text for this JPEG image that captures its essence and is suitable for users with visual impairments." + flags: + perfile: "" + default_input: "./docs" + file_ext: "jpg" + - prompt: "Using the Markdown descriptions as context, provide a concise, descriptive alt text for this PNG image that captures its essence and is suitable for users with visual impairments." + flags: + perfile: "" + default_input: "./docs" + file_ext: "png" + - prompt: "Using the Markdown descriptions as context, provide a concise, descriptive alt text for this GIF image that captures its essence and is suitable for users with visual impairments." + flags: + perfile: "" + default_input: "./docs" + file_ext: "gif" + diff --git a/examples/gemini/python/docs-agent/tasks/prepare-podcast-from-dir.yaml b/examples/gemini/python/docs-agent/tasks/prepare-podcast-from-dir.yaml new file mode 100644 index 000000000..d766049ac --- /dev/null +++ b/examples/gemini/python/docs-agent/tasks/prepare-podcast-from-dir.yaml @@ -0,0 +1,19 @@ +tasks: + - name: "PreparePodcasteFromDir" + model: "models/gemini-1.5-pro-latest" + description: "An agent that helps prepare a podcast from a directory of markdown files." + preamble: "When writing a prompt, always be direct and concise." + steps: + - prompt: "Read these documentation files and create a markdown document + that highlights the parts that are to the most interesting to talk + about in a podcast. Make sure to also include + interesting topics to talk about. Most listeners will be software + engineers, so make sure to highlight technical topics. Also make sure + the conversation flows well and is centered around using tooling + when possible. You should list at least 5 high level topics to talk about. + At the top of the file include the text: \"Use this script to organize + the podcast show that you are about to record.\"" + flags: + allfiles: "" + default_input: "~/docs/" + file_ext: "md" diff --git a/examples/gemini/python/docs-agent/tasks/revise-content-structure-task.yaml b/examples/gemini/python/docs-agent/tasks/revise-content-structure-task.yaml new file mode 100644 index 000000000..bee171e5e --- /dev/null +++ b/examples/gemini/python/docs-agent/tasks/revise-content-structure-task.yaml @@ -0,0 +1,15 @@ +tasks: + - name: "ReviseContentStructure" + model: "models/gemini-1.5-flash" + description: "An agent that helps revise content structure in a doc for better flow and readability." + preamble: "You're an editor specializing in revising technical documents. When generating a Markdown file, limit the number of characters per line to 80 or less, and keep the unchanged content in tact." + steps: + - prompt: "Summarize the key information and purpose of the content in the provided file." + flags: + file: "" + default_input: "./README.md" + - prompt: "Identify the key topics and subjects discussed in the provided file. Present your findings as a numbered list of bullet points, ensuring clarity and conciseness." + - prompt: "Based on the extracted key topics and subjects, propose a logical and engaging narrative structure for the provided file. Consider the natural flow of information and prioritize clarity and readability. Present your proposal as a numbered list." + - prompt: "Review the section titles in the provided file and suggest any updates for overall clarity and consistency. Present your suggestions as a numbered list with the original title, followed by your proposed title." + - prompt: "Rewrite the provided file, incorporating the proposed narrative structure and making necessary adjustments to improve the flow and readability of the document." + From 6dac7e84bc87c59a59594f531b7215d855ee8893 Mon Sep 17 00:00:00 2001 From: Kyo Lee Date: Tue, 29 Oct 2024 03:43:30 +0000 Subject: [PATCH 2/2] [Docs Agent] Docs Agent release version 0.4.0 (Files missed in the previous commit) - **Multi-modal support:** The Docs Agent CLI supports image, audio, and video files as part of a prompt to the Gemini model. - **Formatted output:** Select the format of Docs Agent CLI's responses with the `--response_type json` and `--plaintext` options. - **Autocomplete script:** The `autocomplete.sh` script is added to include Docs Agent CLI commands and options, making it easier and faster to use the Docs Agent CLI on a terminal. --- examples/gemini/python/docs-agent/README.md | 24 +- .../apps_script/drive_to_markdown.gs | 2 +- .../python/docs-agent/docs/cli-reference.md | 30 + .../docs_agent/agents/docs_agent.py | 68 + .../docs_agent/interfaces/README.md | 16 +- .../docs_agent/interfaces/cli/cli_helpme.py | 129 +- .../docs_agent/interfaces/cli/cli_runtask.py | 276 +- .../docs_agent/interfaces/run_console.py | 106 +- .../docs_agent/models/google_genai.py | 66 +- .../docs-agent/docs_agent/storage/chroma.py | 77 +- .../docs-agent/docs_agent/utilities/config.py | 10 + examples/gemini/python/docs-agent/poetry.lock | 3687 +++++++++-------- .../gemini/python/docs-agent/pyproject.toml | 7 +- .../tasks/index-page-generator-task.yaml | 12 +- 14 files changed, 2637 insertions(+), 1873 deletions(-) diff --git a/examples/gemini/python/docs-agent/README.md b/examples/gemini/python/docs-agent/README.md index 3a916e9d6..c23eb1486 100644 --- a/examples/gemini/python/docs-agent/README.md +++ b/examples/gemini/python/docs-agent/README.md @@ -26,10 +26,10 @@ check out the [Set up Docs Agent][set-up-docs-agent] section below. Docs Agent's `agent runtask` command allows you to run pre-defined chains of prompts, which are referred to as **tasks**. These tasks simplify complex interactions by defining -a series of steps that the Docs Agent will execute. The tasks are defined in `.yaml` files -stored in the [`tasks`][tasks-dir] directory of your Docs Agent project. The tasks are +a series of steps that the Docs Agent CLI will execute. The tasks are defined in `.yaml` +files stored in the [`tasks`][tasks-dir] directory of your Docs Agent project. The tasks are designed to be reusable and can be used to automate common workflows, such as generating -release notes, updating documentation, or analyzing complex information. +release notes, drafting overview pages, or analyzing complex information. A task file example: @@ -101,6 +101,16 @@ The list below summarizes the tasks and features supported by Docs Agent: agent runtask --task DraftReleaseNotes ``` +- **Multi-modal support**: Docs Agent's `agent helpme` command can include image, + audio, and video files as part of a prompt to the Gemini 1.5 model, for example: + + ```sh + agent helpme Provide a concise, descriptive alt text for this PNG image --file ./my_image_example.png + ``` + + You can use this feature for creating tasks as well. For example, see the + [DescribeImages][describe-images] task. + For more information on Docs Agent's architecture and features, see the [Docs Agent concepts][docs-agent-concepts] page. @@ -241,6 +251,13 @@ Clone the Docs Agent project and install dependencies: **Important**: From this point, all `agent` command lines below need to run in this `poetry shell` environment. +5. (**Optional**) To enable autocomplete commands and flags related to + Docs Agent in your shell environment, run the following command: + + ``` + source scripts/autocomplete.sh + ``` + ### 5. Edit the Docs Agent configuration file This guide uses the [open source Flutter documents][flutter-docs-src] as an example dataset, @@ -458,3 +475,4 @@ Meggin Kearney (`@Meggin`), and Kyo Lee (`@kyolee415`). [chunking-process]: docs/chunking-process.md [new-15-mode]: docs/config-reference.md#app_mode [tasks-dir]: tasks/ +[describe-images]: tasks/describe-images-for-alt-text-task.yaml diff --git a/examples/gemini/python/docs-agent/apps_script/drive_to_markdown.gs b/examples/gemini/python/docs-agent/apps_script/drive_to_markdown.gs index b19d33d84..bf4b7f86f 100644 --- a/examples/gemini/python/docs-agent/apps_script/drive_to_markdown.gs +++ b/examples/gemini/python/docs-agent/apps_script/drive_to_markdown.gs @@ -235,6 +235,6 @@ function convertDriveFolder(folderName, outputFolderName="", indexFile="") { insertRichText(sheet, md_chip, "E", row_number); insertRichText(sheet, folder_chip, "I", row_number); } + return gdoc_count, pdf_count, new_file_count, updated_file_count, unchanged_file_count } - return gdoc_count, pdf_count, new_file_count, updated_file_count, unchanged_file_count } diff --git a/examples/gemini/python/docs-agent/docs/cli-reference.md b/examples/gemini/python/docs-agent/docs/cli-reference.md index b6b945740..7088cdeec 100644 --- a/examples/gemini/python/docs-agent/docs/cli-reference.md +++ b/examples/gemini/python/docs-agent/docs/cli-reference.md @@ -258,6 +258,20 @@ For example: agent helpme write a concept doc covering all features in this project? --allfiles ~/my-project --new ``` +### Ask the model to print the output in JSON + +The command below prints the output from the model in JSON format: + +```sh +agent helpme --response_type json +``` + +For example: + +```sh +agent helpme how do I cook pasta? --response_type json +``` + ### Ask the model to run a pre-defined chain of prompts The command below runs a task (a sequence of prompts) defined in @@ -297,6 +311,22 @@ For example: agent runtask --task IndexPageGenerator --custom_input ~/my_example/docs/development/ ``` +### Ask the model to print the output in plain text + +By default, the `agent runtask` command uses Python's Rich console +to format its output. You can disable it by using the `--plaintext` +flag: + +```sh +agent runtask --task --plaintext +``` + +For example: + +```sh +agent runtask --task DraftReleaseNotes --plaintext +``` + ## Managing online corpora ### List all existing online corpora diff --git a/examples/gemini/python/docs-agent/docs_agent/agents/docs_agent.py b/examples/gemini/python/docs-agent/docs_agent/agents/docs_agent.py index 5eb83c459..cc9fe2fef 100644 --- a/examples/gemini/python/docs-agent/docs_agent/agents/docs_agent.py +++ b/examples/gemini/python/docs-agent/docs_agent/agents/docs_agent.py @@ -17,6 +17,7 @@ """Docs Agent""" import typing +import os, pathlib from absl import logging import google.api_core @@ -573,6 +574,73 @@ def ask_content_model_to_fact_check_prompt(self, context: str, prev_response: st def generate_embedding(self, text, task_type: str = "SEMANTIC_SIMILARITY"): return self.gemini.embed(text, task_type)[0] + # Generate a response to an image + def ask_model_about_image(self, prompt: str, image): + if not prompt: + prompt = f"Describe this image:" + if self.context_model.startswith("models/gemini-1.5"): + try: + # Adding prompt in the beginning allows long contextual + # information to be added. + response = self.gemini.generate_content([prompt, image]) + except google.api_core.exceptions.InvalidArgument: + return self.config.conditions.model_error_message + else: + logging.error(f"The {self.context_model} can't read an image.") + response = None + exit(1) + return response + + # Generate a response to audio + def ask_model_about_audio(self, prompt: str, audio): + if not prompt: + prompt = f"Describe this audio clip:" + audio_size = os.path.getsize(audio) + # Limit is 20MB + if audio_size > 20000000: + logging.error(f"The audio clip {audio} is too large: {audio_size} bytes.") + exit(1) + # Get the mime type of the audio file and trim the . from the extension. + mime_type = "audio/" + pathlib.Path(audio).suffix[:1] + audio_clip = { + "mime_type": mime_type, + "data": pathlib.Path(audio).read_bytes() + } + if self.context_model.startswith("models/gemini-1.5"): + try: + response = self.gemini.generate_content([prompt, audio_clip]) + except google.api_core.exceptions.InvalidArgument: + return self.config.conditions.model_error_message + else: + logging.error(f"The {self.context_model} can't read an audio clip.") + exit(1) + return response + + # Generate a response to video + def ask_model_about_video(self, prompt: str, video): + if not prompt: + prompt = f"Describe this video clip:" + video_size = os.path.getsize(video) + # Limit is 2GB + if video_size > 2147483648: + logging.error(f"The video clip {video} is too large: {video_size} bytes.") + exit(1) + request_options = { + "timeout": 600 + } + mime_type = "video/" + pathlib.Path(video).suffix[:1] + video_clip_uploaded =self.gemini.upload_file(video) + video_clip = self.gemini.get_file(video_clip_uploaded) + if self.context_model.startswith("models/gemini-1.5"): + try: + response = self.gemini.generate_content([prompt, video_clip], + request_options=request_options) + except google.api_core.exceptions.InvalidArgument: + return self.config.conditions.model_error_message + else: + logging.error(f"The {self.context_model} can't see video clips.") + exit(1) + return response # Function to give an embedding function for gemini using an API key def embedding_function_gemini_retrieval(api_key, embedding_model: str): diff --git a/examples/gemini/python/docs-agent/docs_agent/interfaces/README.md b/examples/gemini/python/docs-agent/docs_agent/interfaces/README.md index 56a3292ea..7b5b8e3f7 100644 --- a/examples/gemini/python/docs-agent/docs_agent/interfaces/README.md +++ b/examples/gemini/python/docs-agent/docs_agent/interfaces/README.md @@ -101,10 +101,16 @@ from your `$HOME` directory. poetry shell ``` - Entering the `poetry shell` environment is **required** for - running the `agent` command. + **Important**: You must always enter the `poetry shell` environment + to run the `agent` command. -2. Run the `agent helpme` command, for example: +2. Enable autocomplete for Docs Agent CLI options in your environment: + + ``` + source scripts/autocomplete.sh + ``` + +3. Run the `agent helpme` command, for example: ``` agent helpme how do I cook pasta? @@ -113,7 +119,7 @@ from your `$HOME` directory. This command returns the Gemini model's response of your input prompt `how do I cook pasta?`. -3. View the list of Docs Agent tasks available in your setup: +4. View the list of Docs Agent tasks available in your setup: ``` agent runtask @@ -122,7 +128,7 @@ from your `$HOME` directory. This command prints a list of Docs Agent tasks that you can run. (See the `tasks` directory in your local Docs Agent setup.) -4. Run the `agent runtask` command, for example: +5. Run the `agent runtask` command, for example: ``` agent runtask --task IndexPageGenerator diff --git a/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_helpme.py b/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_helpme.py index d395834a7..5b35c0756 100644 --- a/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_helpme.py +++ b/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_helpme.py @@ -133,6 +133,17 @@ def cli_helpme(ctx, config_file, product): is_flag=True, help="Use a panel for rendering the response.", ) +@click.option( + "--response_type", + type=click.Choice(["text", "json", "x.enum"]), + default="text", + help="Specify the response type of the response from the model. When using json, you can specify the JSON schema at the end of your question.", +) +@click.option( + "--response_schema", + help="Specify a response schema for the response type.", + hidden=True, +) @common_options def helpme( words, @@ -152,6 +163,8 @@ def helpme( sleep: int = 0, panel: bool = False, product: list[str] = [""], + response_type: typing.Optional[str] = "text", + response_schema: typing.Optional[str] = None, model: typing.Optional[str] = None, ): """Ask an AI language model to perform a task from the terminal.""" @@ -177,12 +190,22 @@ def helpme( if not this_model.startswith("models/gemini"): click.echo(f"File mode is not supported with this model: {this_model}") exit(1) - + # This feature is only available to the Gemini 1.5 models. + if not this_model.startswith("models/gemini-1.5") and response_type != "text": + click.echo(f"x.enum and json only work on gemini-1.5 models. You are using: {this_model}") + exit(1) + if response_type == "x.enum" and response_schema is None: + click.echo(f"You must specify a response_schema when using text/x.enum. Optional for json.") + exit(1) + if response_type: + product_config.products[0].models.response_type = response_type # Get the question string. question = "" for word in words: question += word + " " question = question.strip() + if response_schema: + product_config.products[0].models.response_schema = response_schema # This is wrapped around the question when --out flag is set, this will # help format the output of the final file. question_out_wrapper = ( @@ -329,13 +352,37 @@ def helpme( # Read the file content to be included in the history file. file_content = "" - try: - with open(this_file, "r", encoding="utf-8") as target_file: - file_content = target_file.read() - target_file.close() - except: - print(f"[Error] This file cannot be opened: {this_file}\n") - exit(1) + if ( + this_file.endswith(".png") + or this_file.endswith(".jpg") + or this_file.endswith(".gif") + ): + file_content = "This is an image file.\n" + elif ( + this_file.endswith(".mp3") + or this_file.endswith(".wav") + or this_file.endswith(".ogg") + or this_file.endswith(".flac") + or this_file.endswith(".aac") + or this_file.endswith(".aiff") + or this_file.endswith(".mp4") + or this_file.endswith(".mov") + or this_file.endswith(".avi") + or this_file.endswith(".x-flv") + or this_file.endswith(".mpg") + or this_file.endswith(".webm") + or this_file.endswith(".wmv") + or this_file.endswith(".3gpp") + ): + file_content = "This is an audio file.\n" + else: + try: + with open(this_file, "r", encoding="utf-8") as target_file: + file_content = target_file.read() + target_file.close() + except: + print(f"[Error] This file cannot be opened: {this_file}\n") + exit(1) # If the `--new` flag is set, overwrite the history file. write_mode = "a" @@ -412,15 +459,23 @@ def helpme( if file_ext == None: # Apply to all files. print(f"# File: {file_path}") - try: - with open(file_path, "r", encoding="utf-8") as auto: - content = auto.read() - auto.close() - except: - print( - f"[Warning] Skipping this file because it cannot be opened: {file}\n" - ) - continue + file_content = "" + if ( + file.endswith(".png") + or file.endswith(".jpg") + or file.endswith(".gif") + ): + file_content = "This is an image file.\n" + else: + try: + with open(file_path, "r", encoding="utf-8") as auto: + file_content = auto.read() + auto.close() + except: + print( + f"[Warning] Skipping this file because it cannot be opened: {file}\n" + ) + continue this_output = console.ask_model_with_file( question, product_config, @@ -442,11 +497,6 @@ def helpme( print() print(f"{this_output}") print() - # Read the file content to be included in the history file. - file_content = "" - with open(file_path, "r", encoding="utf-8") as target_file: - file_content = target_file.read() - target_file.close() # Prepare output to be saved in the history file. out_buffer += ( f"QUESTION: {question}\n\n" @@ -468,15 +518,23 @@ def helpme( time.sleep(3) elif file.endswith(file_ext): print(f"# File: {file_path}") - try: - with open(file_path, "r", encoding="utf-8") as auto: - content = auto.read() - auto.close() - except: - print( - f"[Warning] Skipping this file becasue it cannot be opened: {file}\n" - ) - continue + file_content = "" + if ( + file.endswith(".png") + or file.endswith(".jpg") + or file.endswith(".gif") + ): + file_content = "This is an image file.\n" + else: + try: + with open(file_path, "r", encoding="utf-8") as auto: + file_content = auto.read() + auto.close() + except: + print( + f"[Warning] Skipping this file because it cannot be opened: {file}\n" + ) + continue this_output = console.ask_model_with_file( question, product_config, @@ -499,11 +557,6 @@ def helpme( print(f"{this_output}") print() - # Read the file content to be included in the history file. - file_content = "" - with open(file_path, "r", encoding="utf-8") as target_file: - file_content = target_file.read() - target_file.close() # Prepare output to be saved in the history file. out_buffer += ( f"QUESTION: {question}\n\n" @@ -594,7 +647,7 @@ def helpme( print(f"Adding this file to context: {file}\n") except: print( - f"[Warning] Skipping this file becasue it cannot be opened: {file}\n" + f"[Warning] Skipping this file because it cannot be opened: {file}\n" ) continue elif file.endswith(file_ext): @@ -610,7 +663,7 @@ def helpme( print(f"Adding this file to context: {file}\n") except: print( - f"[Warning] Skipping this file becasue it cannot be opened: {file}\n" + f"[Warning] Skipping this file because it cannot be opened: {file}\n" ) continue diff --git a/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_runtask.py b/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_runtask.py index 3892f8093..2eed0d2b6 100644 --- a/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_runtask.py +++ b/examples/gemini/python/docs-agent/docs_agent/interfaces/cli/cli_runtask.py @@ -83,6 +83,11 @@ def cli_runtask(ctx, config_file, product): help="Specify an input string for the task.", default=None, ) +@click.option( + "--plaintext", + is_flag=True, + help="Do not print output in Rich console.", +) @click.pass_context def runtask( # Words can be used to try to find an agent or match to helpme/tellme @@ -93,6 +98,7 @@ def runtask( custom_input: typing.Optional[str] = None, model: typing.Optional[str] = None, force: bool = False, + plaintext: bool = False, # task: typing.Optional[str] = None, ): """Perform tasks defined in a yaml file.""" @@ -100,6 +106,8 @@ def runtask( ai_console = Console(width=120) console_style = Style(color="default", bold=True) use_panel = True + if plaintext is True: + use_panel = False task_config_user = os.path.join(os.path.expanduser("~/docs_agent"), "tasks") # Read the agent config. if task_config is None: @@ -124,16 +132,44 @@ def runtask( loaded_tasks_config = tasks_config.return_task(task=item) if loaded_tasks_config is None: print() - print(f"Task {item} not found.") + print(f"Task {item} not found. Please specify a task.") print() - print("These are the available tasks:") + if use_panel: + ai_console.print( + f"[bold]Usage[/bold]: agent runtask --task [--custom_input ]" + ) + else: + print( + f"Usage: agent runtask --task [--custom_input ]" + ) print() + print("Available tasks:") for item in tasks_config.tasks: print() - print(f"- {item.name}") - if item.description: - print(f" Description: {item.description}") - print(f" Usage: agent runtask --task {item.name}") + if use_panel: + if item.description: + ai_console.print( + f"- [bold]{item.name}[/bold]: {item.description}" + ) + else: + ai_console.print(f"- [bold]{item.name}[/bold]") + ai_console.print( + Panel( + f"agent runtask --task {item.name}", + title=f"Usage", + title_align="left", + padding=(0, 2), + ) + ) + else: + if item.description: + print(f"- {item.name}") + print() + print(f" {item.description}") + else: + print(f"- {item.name}") + print() + print(f" Usage: agent runtask --task {item.name}") print() print("You can also ask me to try to find a task for you.") print() @@ -144,15 +180,44 @@ def runtask( # This checks if a task is specified and if not, suggest a task. elif (task is None or task == ()) and words == "": print() - print( - f"No task specified. Please specify a task. These are the available tasks:" - ) + print(f"No task specified. Please specify a task.") + print() + if use_panel: + ai_console.print( + f"[bold]Usage[/bold]: agent runtask --task [--custom_input ]" + ) + else: + print( + f"Usage: agent runtask --task [--custom_input ]" + ) + print() + print("Available tasks:") for item in tasks_config.tasks: print() - print(f"- {item.name}") - if item.description: - print(f" Description: {item.description}") - print(f" Usage: agent runtask --task {item.name}") + if use_panel: + if item.description: + ai_console.print( + f"- [bold]{item.name}[/bold]: {item.description}" + ) + else: + ai_console.print(f"- [bold]{item.name}[/bold]") + ai_console.print( + Panel( + f"agent runtask --task {item.name}", + title=f"Usage", + title_align="left", + padding=(0, 2), + ) + ) + else: + if item.description: + print(f"- {item.name}") + print() + print(f" {item.description}") + else: + print(f"- {item.name}") + print() + print(f" Usage: agent runtask --task {item.name}") exit(1) # Get the words before any flags. user_query = "" @@ -166,13 +231,42 @@ def runtask( ) ): print() - print("Please specify a task. These are the available tasks:") - for item in tasks_config.tasks: + print("Please specify a task.") + print() + if use_panel: + ai_console.print( + f"[bold]Usage[/bold]: agent runtask --task [--custom_input ]" + ) print() - print(f"- {item.name}") - if item.description: - print(f" Description: {item.description}") - print(f" Usage: agent runtask --task {item.name}") + print("Available tasks:") + for item in tasks_config.tasks: + print() + if item.description: + ai_console.print(f"- [bold]{item.name}[/bold]: {item.description}") + else: + ai_console.print(f"- [bold]{item.name}[/bold]") + ai_console.print( + Panel( + f"agent runtask --task {item.name}", + title=f"Usage", + title_align="left", + padding=(0, 2), + ) + ) + else: + print(f"Usage: agent runtask --task [--custom_input ]") + print() + print("Available tasks:") + for item in tasks_config.tasks: + print() + if item.description: + print(f"- {item.name}") + print() + print(f" {item.description}") + else: + print(f"- {item.name}") + print() + print(f" Usage: agent runtask --task {item.name}") exit(1) for word in words: user_query += word + " " @@ -285,19 +379,143 @@ def runtask( ): this_preamble = curr_task.preamble - # Check if a custom input string is provided. - if custom_input is not None: + this_default_input = "" + + # Print the summary of the task about to run. + if use_panel: print() - print(f"Custom input: {custom_input}") - print( - f"This input string will replace the placeholder in this task run." - ) + ai_console.print(f"Task: [bold]{curr_task.name}[/bold]") + ai_console.print(f"Model: {curr_task.model}") + ai_console.print(f"Description: {curr_task.description}") + print() + if this_preamble != "": + ai_console.print( + Panel( + f"{this_preamble}", + title=f"Preamble", + title_align="left", + padding=(1, 1), + ), + style=console_style, + ) + print() + print(f" * The prompt for each step will begin with this preamble.") + print() + step_index = 0 + for step in curr_task.steps: + step_index += 1 + function = "helpme" + if step.function is not None and step.function != "": + function = step.function + step_name = "" + if step.name is not None and step.name != "": + step_name = step.name + this_step_buffer = "" + this_step_buffer += f"Prompt ({function}): {step.prompt}" + if step.flags: + this_step_buffer += f"\n" + if step.flags.file is not None and step.flags.file != "": + this_step_buffer += f"\nfile: {step.flags.file}" + if step.flags.perfile is not None and step.flags.perfile != "": + this_step_buffer += f"\nperfile: {step.flags.perfile}" + if step.flags.allfiles is not None and step.flags.allfiles != "": + this_step_buffer += f"\nallfiles: {step.flags.allfiles}" + if step.flags.file_ext is not None and step.flags.file_ext != "": + this_step_buffer += f"\nfile_ext: {step.flags.file_ext}" + if ( + step.flags.default_input is not None + and step.flags.default_input != "" + ): + this_default_input = step.flags.default_input + ai_console.print( + Panel( + this_step_buffer, + title=f"Step {step_index}. {step_name}", + title_align="left", + padding=(1, 1), + ), + style=console_style, + ) + # Check if a custom input string is provided. + if custom_input is not None: + print() + ai_console.print(f"Custom input: [bold]{custom_input}[/bold]") + print() + ai_console.print( + f" * This input string will replace the [bold][/bold] placeholder in the steps." + ) + elif this_default_input is not None and this_default_input != "": + print() + ai_console.print(f"Default input: [bold]{this_default_input}[/bold]") + print() + ai_console.print( + f"This input string will replace the [bold][/bold] placeholder in the steps." + ) + print() + ai_console.print( + f"[bold]Note[/bold]: However, if you want to run this task using your file or directory, run:" + ) + print() + ai_console.print( + f" agent runtask --task {curr_task.name} --custom_input [bold][bold]" + ) + + else: + print() + print(f"Task: {curr_task.name}") + print(f"Model: {curr_task.model}") + print(f"Description: {curr_task.description}") + print() + print(f"Preamble: {this_preamble}") + print() + step_index = 0 + for step in curr_task.steps: + step_index += 1 + print(f"Step {step_index}: {step.prompt}") + if step.flags: + this_step_buffer = "\n" + if step.flags.file is not None and step.flags.file != "": + this_step_buffer += f" file: {step.flags.file}\n" + if step.flags.perfile is not None and step.flags.perfile != "": + this_step_buffer += f" perfile: {step.flags.perfile}\n" + if step.flags.allfiles is not None and step.flags.allfiles != "": + this_step_buffer += f" allfiles: {step.flags.allfiles}\n" + if step.flags.file_ext is not None and step.flags.file_ext != "": + this_step_buffer += f" file_ext: {step.flags.file_ext}\n" + if ( + step.flags.default_input is not None + and step.flags.default_input != "" + ): + this_default_input = step.flags.default_input + print(this_step_buffer) + # Check if a custom input string is provided. + if custom_input is not None: + print() + print(f"Custom input: {custom_input}") + print() + print( + f" * This input string will replace the placeholder in the steps." + ) + elif this_default_input is not None and this_default_input != "": + print() + print(f"Default input: {this_default_input}") + print() + print( + f"This input string will replace the placeholder in the steps." + ) + print() + print( + f"Note: However, if you want to run this task using your file or directory, run:" + ) + print() + print( + f" agent runtask --task {curr_task.name} --custom_input " + ) + print() # Ask the user to confirm. if force or click.confirm( - f"\nPreparing to launch task:\n\n" - + f"{curr_task}" - + f"Do you want to launch the task?", + f"Start the task?", abort=True, ): print() @@ -454,7 +672,7 @@ def runtask( else: print() print(f"===================") - print(f"Starting task: {task.name}") + print(f"Step {this_step}. {task.name}") print(f"Prompt: {task.prompt}") print(f"===================") print() diff --git a/examples/gemini/python/docs-agent/docs_agent/interfaces/run_console.py b/examples/gemini/python/docs-agent/docs_agent/interfaces/run_console.py index 99a216497..80cc790a7 100644 --- a/examples/gemini/python/docs-agent/docs_agent/interfaces/run_console.py +++ b/examples/gemini/python/docs-agent/docs_agent/interfaces/run_console.py @@ -23,6 +23,7 @@ from rich.panel import Panel from rich.text import Text from rich.progress import Progress +from PIL import Image from docs_agent.agents.docs_agent import DocsAgent from docs_agent.utilities.config import ConfigFile @@ -275,9 +276,71 @@ def ask_model_with_file( final_context = "" response = "" + # Set the file extension. + file_ext = None + is_image = False + is_audio = False + is_video = False + loaded_image = None + if file != None: + if file.endswith(".png"): + file_ext = "png" + is_image = True + elif file.endswith(".jpg"): + file_ext = "jpg" + is_image = True + elif file.endswith(".gif"): + file_ext = "gif" + is_image = True + elif file.endswith(".wav"): + file_ext = "wav" + is_audio = True + elif file.endswith(".mp3"): + file_ext = "wav" + is_audio = True + elif file.endswith(".flac"): + file_ext = "flac" + is_audio = True + elif file.endswith(".aiff"): + file_ext = "aiff" + is_audio = True + elif file.endswith(".aac"): + file_ext = "aac" + is_audio = True + elif file.endswith(".ogg"): + file_ext = "aac" + is_audio = True + elif file.endswith(".mp4"): + file_ext = "mp4" + is_video = True + elif file.endswith(".mp4"): + file_ext = "mp4" + is_video = True + elif file.endswith(".mov"): + file_ext = "mov" + is_video = True + elif file.endswith(".avi"): + file_ext = "avi" + is_video = True + elif file.endswith(".x-flv"): + file_ext = "x-flv" + is_video = True + elif file.endswith(".mpg"): + file_ext = "mpg" + is_video = True + elif file.endswith(".webm"): + file_ext = "webm" + is_video = True + elif file.endswith(".wmv"): + file_ext = "wmv" + is_video = True + elif file.endswith(".3gpp"): + file_ext = "3gpp" + is_video = True + # Get the content of the target file. file_content = "" - if file != None: + if file != None and not is_image and not is_audio and not is_video: try: with open(file, "r", encoding="utf-8") as auto: content = auto.read() @@ -286,6 +349,14 @@ def ask_model_with_file( except: print(f"Cannot open the file {file}") exit(1) + elif is_image: + try: + with open(file, "rb") as image: + loaded_image = Image.open(image) + loaded_image.load() + except: + print(f"Cannot open the image {file}") + exit(1) # Get the content of the context file. context_file_content = "" @@ -395,16 +466,29 @@ def ask_model_with_file( total=None, ) final_context = file_content - - #print(f"Context:\n{final_context}") - #print(f"Question:\n{question}") - # Ask Gemini with the question and final context. - ( - response, - full_prompt, - ) = docs_agent.ask_content_model_with_context_prompt( - context=final_context, question=question - ) + if is_image: + this_prompt = final_context + "\nQUESTION (REQUEST): " + question + response = docs_agent.ask_model_about_image( + prompt=this_prompt, image=loaded_image + ) + elif is_audio: + this_prompt = final_context + "\nQUESTION (REQUEST): " + question + response = docs_agent.ask_model_about_audio( + prompt=this_prompt, audio=file + ) + elif is_video: + this_prompt = final_context + "\nQUESTION (REQUEST): " + question + response = docs_agent.ask_model_about_video( + prompt=this_prompt, video=file + ) + else: + # Ask Gemini with the question and final context. + ( + response, + full_prompt, + ) = docs_agent.ask_content_model_with_context_prompt( + context=final_context, question=question + ) if return_output: return str(response.strip()) ai_console.print() diff --git a/examples/gemini/python/docs-agent/docs_agent/models/google_genai.py b/examples/gemini/python/docs-agent/docs_agent/models/google_genai.py index ab37ac297..757f29475 100644 --- a/examples/gemini/python/docs-agent/docs_agent/models/google_genai.py +++ b/examples/gemini/python/docs-agent/docs_agent/models/google_genai.py @@ -18,8 +18,10 @@ import typing from typing import List +import time import google.generativeai +from google.generativeai.types import GenerationConfig from ratelimit import limits from ratelimit import sleep_and_retry @@ -51,6 +53,15 @@ def __init__(self, model, api_endpoint) -> None: ) +# Create a class for the response schema +# class DocType(enum.Enum): +# CONCEPT = "concept" +# CODELAB = "codelab" +# REFERENCE = "reference" +# OTHER = "other" +# GUIDE = "guide" + + class Gemini: """Rate limited Gemini wrapper. @@ -85,7 +96,20 @@ def __init__( self.language_model = models_config.language_model self.embedding_api_call_limit = models_config.embedding_api_call_limit self.embedding_api_call_period = models_config.embedding_api_call_period - + self.response_type = models_config.response_type + self.response_schema = models_config.response_schema + # Sets the response type to full mime type + if self.response_type: + match self.response_type: + case "x.enum": + self.response_type = "text/x.enum" + case "json": + self.response_type = "application/json" + case _: + self.response_type = "text/plain" + self.generation_config = GenerationConfig( + response_mime_type=self.response_type, + ) # Configure the model google.generativeai.configure( api_key=self.api_key, client_options={"api_endpoint": self.api_endpoint} @@ -125,12 +149,23 @@ def embed( # TODO: bring in limit values from config files @sleep_and_retry @limits(calls=max_text_per_minute, period=minute) - def generate_content(self, contents, log_level: typing.Optional[str] = "NORMAL"): + def generate_content( + self, contents, request_options=None, log_level: typing.Optional[str] = "NORMAL" + ): if self.language_model is None: raise GoogleUnsupportedModelError(self.language_model, self.api_endpoint) model = google.generativeai.GenerativeModel(model_name=self.language_model) try: - response = model.generate_content(contents) + if request_options is None: + response = model.generate_content( + contents, generation_config=self.generation_config + ) + else: + response = model.generate_content( + contents, + request_options=request_options, + generation_config=self.generation_config, + ) except google.api_core.exceptions.InvalidArgument: return self.model_error_message if log_level == "VERBOSE" or log_level == "DEBUG": @@ -184,9 +219,22 @@ def ask_content_model_with_context_prompt( return self.model_error_message return response.text, new_prompt - -# # Use this method for asking a Gemini content model for fact-checking -# def ask_content_model_to_fact_check(self, context, prev_response): -# question = self.fact_check_question + "\n\nText: " -# question += prev_response -# return self.ask_content_model_with_context(context, question) + # Use this method for uploading a file to File API such as Video + # Returns the name of the uploaded file + def upload_file(self, file): + print(f"Uploading file...") + uploaded_file = google.generativeai.upload_file(path=file) + print(f"Completed upload: {uploaded_file.uri}") + return uploaded_file + + # Use this method for retrieving a file from the File API such as Video + # Returns the file object + def get_file(self, file): + while file.state.name == "PROCESSING": + time.sleep(10) + file = google.generativeai.get_file(file.name) + + if file.state.name == "FAILED": + print(f"Failed to get file: {file.name}") + raise ValueError(file.state.name) + return file diff --git a/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py b/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py index de15005bf..c17b73600 100644 --- a/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py +++ b/examples/gemini/python/docs-agent/docs_agent/storage/chroma.py @@ -28,7 +28,6 @@ from chromadb.api.models import Collection from chromadb.api.types import QueryResult -from docs_agent.models.palm import PaLM from docs_agent.preprocess.splitters.markdown_splitter import Section as Section from docs_agent.postprocess.docs_retriever import FullPage as FullPage from docs_agent.utilities.helpers import resolve_path, parallel_backup_dir @@ -42,66 +41,6 @@ class ChromaEmbeddingModelNotSupportedError(Error, RuntimeError): """Raised if the embedding model specified by a collection is not supported.""" -class Chroma: - """Chroma wrapper""" - - def __init__(self, chroma_dir) -> None: - self.client = chromadb.PersistentClient(path=chroma_dir) - - def list_collections(self): - return self.client.list_collections() - - def get_collection(self, name, embedding_function=None, embedding_model=None): - if embedding_function is not None: - return ChromaCollection( - self.client.get_collection( - name=name, embedding_function=embedding_function - ), - embedding_function, - ) - # Read embedding meta information from the collection - collection = self.client.get_collection(name=name) - if embedding_model is None and collection.metadata: - embedding_model = collection.metadata.get("embedding_model", None) - if embedding_model is None: - # If embedding_model is not found in the metadata, - # use `models/embedding-gecko-001` by default. - logging.info( - "Embedding model is not specified in the metadata of " - "the collection %s. Using the default PaLM embedding model.", - name, - ) - embedding_model = "models/embedding-gecko-001" - if embedding_model == "local/all-mpnet-base-v2": - base_dir = os.path.dirname(os.path.abspath(__file__)) - local_model_dir = os.path.join(base_dir, "models/all-mpnet-base-v2") - embedding_function = ( - embedding_functions.SentenceTransformerEmbeddingFunction( - model_name=local_model_dir - ) - ) - else: - print("Embedding model: " + str(embedding_model)) - try: - palm = PaLM(embed_model=embedding_model, find_models=False) - # We cannot redefine embedding_function with def and - # have to assign a lambda to it - # pylint: disable-next=unnecessary-lambda-assignment - embedding_function = lambda texts: [palm.embed(text) for text in texts] - except: - raise ChromaEmbeddingModelNotSupportedError( - f"Embedding model {embedding_model} specified by collection {name} " - "is not supported." - ) - - return ChromaCollection( - self.client.get_collection( - name=name, embedding_function=embedding_function - ), - embedding_function, - ) - - class Format(Enum): CONTEXT = auto() URL = auto() @@ -405,18 +344,10 @@ def get_collection(self, name, embedding_function=None, embedding_model=None): ) ) else: - print("Embedding model: " + str(embedding_model)) - try: - palm = PaLM(embed_model=embedding_model, find_models=False) - # We cannot redefine embedding_function with def and - # have to assign a lambda to it - # pylint: disable-next=unnecessary-lambda-assignment - embedding_function = lambda texts: [palm.embed(text) for text in texts] - except: - raise ChromaEmbeddingModelNotSupportedError( - f"Embedding model {embedding_model} specified by collection {name} " - "is not supported." - ) + raise ChromaEmbeddingModelNotSupportedError( + f"Embedding model {embedding_model} specified by collection {name} " + "is not supported." + ) return ChromaCollectionEnhanced( self.client.get_collection( diff --git a/examples/gemini/python/docs-agent/docs_agent/utilities/config.py b/examples/gemini/python/docs-agent/docs_agent/utilities/config.py index bf815842a..904164912 100644 --- a/examples/gemini/python/docs-agent/docs_agent/utilities/config.py +++ b/examples/gemini/python/docs-agent/docs_agent/utilities/config.py @@ -175,9 +175,13 @@ def __init__( api_key: typing.Optional[str] = None, embedding_api_call_limit: typing.Optional[int] = None, embedding_api_call_period: typing.Optional[int] = None, + response_type: typing.Optional[str] = "text/plain", + response_schema: typing.Optional[dict] = None, ): self.language_model = language_model self.embedding_model = embedding_model + self.response_type = response_type + self.response_schema = response_schema # Set up the Google API key from the environment. if api_key is None: api_key_var = os.getenv("GOOGLE_API_KEY") @@ -205,6 +209,10 @@ def __str__(self): help_str = "" if self.language_model is not None and self.language_model != "": help_str += f"Language model: {self.language_model}\n" + if self.response_type is not None and self.response_type != "": + help_str += f"Response type: {self.response_type}\n" + if self.response_schema is not None and self.response_schema != "": + help_str += f"Response schema: {self.response_schema}\n" if self.embedding_model is not None and self.embedding_model != "": help_str += f"Embedding model: {self.embedding_model}\n" if self.api_key is not None and self.api_key != "": @@ -236,6 +244,8 @@ def returnModels(self) -> Models: model_item = Models( language_model=item["language_model"], embedding_model=item["embedding_model"], + response_type=item.get("response_type", "text/plain"), + response_schema=item.get("response_schema", None), api_endpoint=item.get("api_endpoint", None), embedding_api_call_limit=item.get("embedding_api_call_limit", None), embedding_api_call_period=item.get( diff --git a/examples/gemini/python/docs-agent/poetry.lock b/examples/gemini/python/docs-agent/poetry.lock index 4992b9b55..671bed69c 100644 --- a/examples/gemini/python/docs-agent/poetry.lock +++ b/examples/gemini/python/docs-agent/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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"sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "630829af61db0eb47edf2ebf68494279ae5ee16da85f212814646abd264f645e" +content-hash = "27726769fc4f52a8b841999046687f9226f8e4bff1bf6a294852b3b9dc6a01d6" diff --git a/examples/gemini/python/docs-agent/pyproject.toml b/examples/gemini/python/docs-agent/pyproject.toml index c39b7fbbb..3923b9b54 100644 --- a/examples/gemini/python/docs-agent/pyproject.toml +++ b/examples/gemini/python/docs-agent/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "docs-agent" -version = "0.3.6" +version = "0.4.0" description = "" authors = ["Docs Agent contributors"] readme = "README.md" @@ -16,7 +16,7 @@ ratelimit = "^2.2.1" absl-py = "^1.4.0" python-frontmatter = "^1.0.0" flatdict = "^4.0.1" -google-generativeai = "^0.5.0" +google-generativeai = "^0.8.3" uuid = "^1.30" pytz = ">=2020.1" chromadb = "^0.4.22" @@ -25,6 +25,7 @@ pyyaml = "^6.0.1" numpy = "^1.26.4" tqdm = "^4.66.2" flask = "^2.3.2" +pillow = "^11.0.0" [tool.poetry.group.dev.dependencies] ipython = "^8.13.2" @@ -36,6 +37,7 @@ deptry = "^0.13.0" DEP003 = ["docs_agent"] DEP002 = ["uuid"] + [tool.poetry.group.internal] optional = true @@ -47,5 +49,6 @@ requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" + [tool.poetry.scripts] agent = "docs_agent.interfaces.cli.cli:cli" diff --git a/examples/gemini/python/docs-agent/tasks/index-page-generator-task.yaml b/examples/gemini/python/docs-agent/tasks/index-page-generator-task.yaml index dfed4c666..747ddc8a1 100644 --- a/examples/gemini/python/docs-agent/tasks/index-page-generator-task.yaml +++ b/examples/gemini/python/docs-agent/tasks/index-page-generator-task.yaml @@ -1,15 +1,15 @@ tasks: - name: "IndexPageGenerator" - model: "models/gemini-1.5-flash-latest" + model: "models/gemini-1.5-flash" description: "An agent that generates a draft of an index page from source docs." - preamble: "When generating a Markdown file, limit the number of characters per line to 80 or less, and always include a brief description to each page in the list." + preamble: "When generating a Markdown file, limit the number of characters per line to 80 or less, and always include a brief description to each page in the list. Never include a file's full path, but use a relative path. Refer to pages using page titles, not file names (however, use the paths and filenames when generating reference links)." steps: - - prompt: "Explain the files in this directory." + - prompt: "Provide a brief description of each file in this directory." flags: allfiles: "" default_input: "./docs_agent" file_ext: "md" - - prompt: "Generate a draft of an index page that lists all the pages above so that the pages are organized by related topics for new developers." - - prompt: "Update the introduction paragraph of the draft above to be more helpful and descriptive (and keep the rest of the draft intact on the page)." - - prompt: "Add Markdown reference-style links that maps certain key words to the files found above (and add a list of the reference-style links at the bottom of the page)." + - prompt: "Based on the file descriptions provided, generate a draft of an index page that organizes the pages by related topics. The index page should be designed for new developers who need to quickly understand the structure and contents of the documentation." + - prompt: "Please update the introduction paragraph of the index page draft to provide a more helpful and descriptive overview of the documentation. Maintain the remaining content of the draft." + - prompt: "Identify key words and phrases that are relevant to the documentation files. Generate a list of Markdown reference-style links that map these keywords to the corresponding files. Include the list of links at the bottom of the index page."