diff --git a/docs/BUILD b/docs/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..db46e8d6c978c67e301dd6c47bee08c1b3fd141c
--- /dev/null
+++ b/docs/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/docs/examples/discover_llamaindex/document_management/BUILD b/docs/examples/discover_llamaindex/document_management/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..db46e8d6c978c67e301dd6c47bee08c1b3fd141c
--- /dev/null
+++ b/docs/examples/discover_llamaindex/document_management/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/docs/examples/finetuning/embeddings/BUILD b/docs/examples/finetuning/embeddings/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..db46e8d6c978c67e301dd6c47bee08c1b3fd141c
--- /dev/null
+++ b/docs/examples/finetuning/embeddings/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/docs/examples/llm/mymagic.ipynb b/docs/examples/llm/mymagic.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..df35e377d987d10f31fb8fd4d62f0a3e4daf138b
--- /dev/null
+++ b/docs/examples/llm/mymagic.ipynb
@@ -0,0 +1,162 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# MyMagic AI LLM"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Introduction\n",
+ "This notebook demonstrates how to use MyMagicAI for batch inference on massive data stored in cloud buckets. The only enpoints implemented are `complete` and `acomplete` which can work on many use cases including Completion, Summariation and Extraction.\n",
+ "To use this notebook, you need an API key (Personal Access Token) from MyMagicAI and data stored in cloud buckets.\n",
+ "Sign up by clicking Get Started at [MyMagicAI's website](https://mymagic.ai/) to get your API key.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Setup\n",
+ "To set up your bucket and grant MyMagic API a secure access to your cloud storage, please visit [MyMagic docs](https://docs.mymagic.ai/) for reference.\n",
+ "If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%pip install llama-index-llms-mymagic"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "!pip install llama-index"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from llama_index.llms.mymagic import MyMagicAI"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "llm = MyMagicAI(\n",
+ " api_key=\"your_api_key\",\n",
+ " storage_provider=\"your_storage_provider\", # s3, gcs\n",
+ " bucket_name=\"your_bucket_name\",\n",
+ " session=\"your_session\", # files should be located in this folder on which batch inference will be run\n",
+ " system_prompt=\"Answer the question succinctly\",\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "resp = llm.complete(\n",
+ " question=\"Summarize the document!\",\n",
+ " model=\"mistral7b\",\n",
+ " max_tokens=10, # currently we support mistral7b, llama7b, mixtral8x7b,codellama70b, llama70b, more to come...\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# The response indicated that the final output is stored in your bucket or raises an exception if the job failed\n",
+ "print(resp)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Asynchronous Requests by using `acomplete` endpoint\n",
+ "For asynchronous operations, use the following approach."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import asyncio"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "async def main():\n",
+ " allm = MyMagicAI(\n",
+ " api_key=\"your_api_key\",\n",
+ " storage_provider=\"your_storage_provider\",\n",
+ " bucket_name=\"your_bucket_name\",\n",
+ " session=\"your_session_name\",\n",
+ " system_prompt=\"your_system_prompt\",\n",
+ " )\n",
+ " response = await allm.acomplete(\n",
+ " question=\"your_question\", model=\"mistral7b\", max_tokens=10\n",
+ " )\n",
+ "\n",
+ " print(\"Async completion response:\", response)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "asyncio.run(main())"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "llama-index-dKXgjzWQ-py3.11",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/examples/output_parsing/BUILD b/docs/examples/output_parsing/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..db46e8d6c978c67e301dd6c47bee08c1b3fd141c
--- /dev/null
+++ b/docs/examples/output_parsing/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/.gitignore b/llama-index-integrations/llms/llama-index-llms-mymagic/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..990c18de229088f55c6c514fd0f2d49981d1b0e7
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/.gitignore
@@ -0,0 +1,153 @@
+llama_index/_static
+.DS_Store
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+bin/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+etc/
+include/
+lib/
+lib64/
+parts/
+sdist/
+share/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+.ruff_cache
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+notebooks/
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+# However, in case of collaboration, if having platform-specific dependencies or dependencies
+# having no cross-platform support, pipenv may install dependencies that don't work, or not
+# install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+pyvenv.cfg
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Jetbrains
+.idea
+modules/
+*.swp
+
+# VsCode
+.vscode
+
+# pipenv
+Pipfile
+Pipfile.lock
+
+# pyright
+pyrightconfig.json
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/BUILD b/llama-index-integrations/llms/llama-index-llms-mymagic/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..0b67818b466ca124328fee9578153b45932c2375
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/BUILD
@@ -0,0 +1,5 @@
+python_sources()
+
+poetry_requirements(
+ name="poetry",
+)
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/Makefile b/llama-index-integrations/llms/llama-index-llms-mymagic/Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..b9eab05aa370629a4a3de75df3ff64cd53887b68
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/Makefile
@@ -0,0 +1,17 @@
+GIT_ROOT ?= $(shell git rev-parse --show-toplevel)
+
+help: ## Show all Makefile targets.
+ @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'
+
+format: ## Run code autoformatters (black).
+ pre-commit install
+ git ls-files | xargs pre-commit run black --files
+
+lint: ## Run linters: pre-commit (black, ruff, codespell) and mypy
+ pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files
+
+test: ## Run tests via pytest.
+ pytest tests
+
+watch-docs: ## Build and watch documentation.
+ sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/README.md b/llama-index-integrations/llms/llama-index-llms-mymagic/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c016b53ecc3eac5a4d9cf2e0dc5118343e3369d9
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/README.md
@@ -0,0 +1 @@
+# LlamaIndex Llms Integration: Mymagic
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/BUILD b/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..db46e8d6c978c67e301dd6c47bee08c1b3fd141c
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/__init__.py b/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e36160260b5aa69a40d7ec1ff1f6ae60b0e1b54f
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/__init__.py
@@ -0,0 +1,4 @@
+from llama_index.llms.mymagic.base import MyMagicAI
+
+
+__all__ = ["MyMagicAI"]
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/base.py b/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..f44a29ef4ce4b1aabcc853d35171f75875115bb2
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/llama_index/llms/mymagic/base.py
@@ -0,0 +1,170 @@
+import time
+from typing import Any, Dict, Optional
+import httpx
+import asyncio
+import requests
+from llama_index.core.base.llms.types import (
+ CompletionResponse,
+ CompletionResponseGen,
+ ChatResponse,
+ ChatResponseGen,
+ ChatResponseAsyncGen,
+ CompletionResponseAsyncGen,
+ LLMMetadata,
+)
+from llama_index.core.llms.llm import LLM
+from llama_index.core.bridge.pydantic import Field
+
+
+class MyMagicAI(LLM):
+ base_url_template: str = "https://{model}.mymagic.ai"
+ api_key: str = None
+ model: str = Field(default="mistral7b", description="The MyMagicAI model to use.")
+ max_tokens: int = Field(
+ default=10, description="The maximum number of tokens to generate."
+ )
+ storage_provider: str = Field(
+ default="gcs", description="The storage provider to use."
+ )
+ bucket_name: str = Field(
+ default="your-bucket-name",
+ description="The bucket name where the data is stored.",
+ )
+ session: str = Field(
+ default="test-session",
+ description="The session to use. This is a subfolder in the bucket where your data is located.",
+ )
+ role_arn: Optional[str] = Field(
+ None, description="ARN for role assumption in AWS S3"
+ )
+ system_prompt: str = Field(
+ default="Answer the question based only on the given content. Do not give explanations or examples. Do not continue generating more text after the answer.",
+ description="The system prompt to use.",
+ )
+ question_data: Dict[str, Any] = Field(
+ default_factory=dict, description="The data to send to the MyMagicAI API."
+ )
+
+ def __init__(
+ self,
+ api_key: str,
+ storage_provider: str,
+ bucket_name: str,
+ session: str,
+ system_prompt: Optional[str],
+ role_arn: Optional[str] = None,
+ **kwargs: Any,
+ ) -> None:
+ super().__init__(**kwargs)
+
+ self.question_data = {
+ "storage_provider": storage_provider,
+ "bucket_name": bucket_name,
+ "personal_access_token": api_key,
+ "session": session,
+ "max_tokens": self.max_tokens,
+ "role_arn": role_arn,
+ "system_prompt": system_prompt,
+ }
+
+ @classmethod
+ def class_name(cls) -> str:
+ return "MyMagicAI"
+
+ def _construct_url(self, model: str) -> str:
+ """Constructs the API endpoint URL based on the specified model."""
+ return self.base_url_template.format(model=model)
+
+ async def _submit_question(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+ async with httpx.AsyncClient() as client:
+ url = f"{self._construct_url(self.model)}/submit_question"
+ resp = await client.post(url, json=question_data)
+ resp.raise_for_status()
+ return resp.json()
+
+ def _submit_question_sync(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+ """Submits a question to the model synchronously."""
+ url = f"{self._construct_url(self.model)}/submit_question"
+ resp = requests.post(url, json=question_data)
+ resp.raise_for_status()
+ return resp.json()
+
+ def _get_result_sync(self, task_id: str) -> Dict[str, Any]:
+ """Polls for the result of a task synchronously."""
+ url = f"{self._construct_url(self.model)}/get_result/{task_id}"
+ response = requests.get(url)
+ response.raise_for_status()
+ return response.json()
+
+ async def _get_result(self, task_id: str) -> Dict[str, Any]:
+ async with httpx.AsyncClient() as client:
+ resp = await client.get(
+ f"{self._construct_url(self.model)}/get_result/{task_id}"
+ )
+ resp.raise_for_status()
+ return resp.json()
+
+ async def acomplete(
+ self, question: str, model: str, max_tokens: int, poll_interval: float = 1.0
+ ) -> CompletionResponse:
+ self.question_data["question"] = question
+ self.question_data["model"] = model
+ self.question_data["max_tokens"] = max_tokens
+
+ task_response = await self._submit_question(self.question_data)
+ task_id = task_response.get("task_id")
+ while True:
+ result = await self._get_result(task_id)
+ if result["status"] != "PENDING":
+ return result
+ await asyncio.sleep(poll_interval)
+
+ def complete(
+ self, question: str, model: str, max_tokens: int, poll_interval: float = 1.0
+ ) -> CompletionResponse:
+ self.question_data["question"] = question
+ self.question_data["model"] = model
+ self.question_data["max_tokens"] = max_tokens
+
+ task_response = self._submit_question_sync(self.question_data)
+ task_id = task_response.get("task_id")
+ while True:
+ result = self._get_result_sync(task_id)
+ if result["status"] != "PENDING":
+ return CompletionResponse(
+ text=result.get("message", ""),
+ additional_kwargs={"status": result["status"]},
+ )
+ time.sleep(poll_interval)
+
+ def stream_complete(self, question: str) -> CompletionResponseGen:
+ raise NotImplementedError(
+ "MyMagicAI does not currently support streaming completion."
+ )
+
+ async def achat(self, question: str) -> ChatResponse:
+ raise NotImplementedError("MyMagicAI does not currently support chat.")
+
+ def chat(self, question: str) -> ChatResponse:
+ raise NotImplementedError("MyMagicAI does not currently support chat.")
+
+ async def astream_complete(self, question: str) -> CompletionResponseAsyncGen:
+ raise NotImplementedError("MyMagicAI does not currently support streaming.")
+
+ async def astream_chat(self, question: str) -> ChatResponseAsyncGen:
+ raise NotImplementedError("MyMagicAI does not currently support streaming.")
+
+ def chat(self, question: str) -> ChatResponse:
+ raise NotImplementedError("MyMagicAI does not currently support chat.")
+
+ def stream_chat(self, question: str) -> ChatResponseGen:
+ raise NotImplementedError("MyMagicAI does not currently support chat.")
+
+ @property
+ def metadata(self) -> LLMMetadata:
+ """LLM metadata."""
+ return LLMMetadata(
+ num_output=self.max_tokens,
+ model_name=self.model,
+ is_chat_model=False,
+ )
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..ec7838ec7755b3c282cbe80dc2d295799a825f52
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml
@@ -0,0 +1,54 @@
+[build-system]
+build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core"]
+
+[tool.codespell]
+check-filenames = true
+check-hidden = true
+# Feel free to un-skip examples, and experimental, you will just need to
+# work through many typos (--write-changes and --interactive will help)
+skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
+
+[tool.llamahub]
+classes = ["MyMagic"]
+contains_example = false
+import_path = "llama_index.llms.mymagic"
+
+[tool.mypy]
+disallow_untyped_defs = true
+# Remove venv skip when integrated with pre-commit
+exclude = ["_static", "build", "examples", "notebooks", "venv"]
+ignore_missing_imports = true
+python_version = "3.8"
+
+[tool.poetry]
+authors = ["Vitali Avagyan <vitali@mymagic.ai>"]
+description = "llama-index llms mymagic integration"
+license = "MIT"
+name = "llama-index-llms-mymagic"
+packages = [{include = "llama_index/"}]
+readme = "README.md"
+version = "0.1.0"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<3.12"
+llama-index-core = "^0.10.0"
+
+[tool.poetry.group.dev.dependencies]
+black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
+codespell = {extras = ["toml"], version = ">=v2.2.6"}
+ipython = "8.10.0"
+jupyter = "^1.0.0"
+mypy = "0.991"
+pre-commit = "3.2.0"
+pylint = "2.15.10"
+pytest = "7.2.1"
+pytest-mock = "3.11.1"
+ruff = "0.0.292"
+tree-sitter-languages = "^1.8.0"
+types-Deprecated = ">=0.1.0"
+types-PyYAML = "^6.0.12.12"
+types-protobuf = "^4.24.0.4"
+types-redis = "4.5.5.0"
+types-requests = "2.28.11.8" # TODO: unpin when mypy>0.991
+types-setuptools = "67.1.0.0"