diff --git a/docs/examples/llm/solar.ipynb b/docs/examples/llm/solar.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..b0ea595833147fb06e6a86f92d6fe7ebffa4bb02
--- /dev/null
+++ b/docs/examples/llm/solar.ipynb
@@ -0,0 +1,85 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "cae1b4a8",
+ "metadata": {},
+ "source": [
+ "# Solar LLM"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "715d392e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "!pip install llama-index-llms-solar"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1fdc2dc3-1454-41e9-8862-9dfd75b5b61f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "\n",
+ "os.environ[\"SOLAR_API_KEY\"] = \"SOLAR_API_KEY\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "26b168b8-9ebf-479d-ac53-28bc952da354",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "assistant: Mother also went into the room.\n"
+ ]
+ }
+ ],
+ "source": [
+ "# from llama_index.llms import\n",
+ "from llama_index.llms.solar import Solar\n",
+ "from llama_index.core.base.llms.types import ChatMessage, MessageRole\n",
+ "\n",
+ "llm = Solar(model=\"solar-1-mini-chat\", is_chat_model=True)\n",
+ "response = llm.chat(\n",
+ " messages=[\n",
+ " ChatMessage(role=\"user\", content=\"아버지가방에들어가셨다\"),\n",
+ " ChatMessage(role=\"assistant\", content=\"Father went into his room\"),\n",
+ " ChatMessage(role=\"user\", content=\"엄마도들어가셨다\"),\n",
+ " ]\n",
+ ")\n",
+ "\n",
+ "print(response)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": 5
+}
diff --git a/docs/module_guides/models/llms/modules.md b/docs/module_guides/models/llms/modules.md
index 2e169ba263acf6e731c0924fd46155b675382f43..bcbb6645ed799ac01abbcfc448821212d3a53e31 100644
--- a/docs/module_guides/models/llms/modules.md
+++ b/docs/module_guides/models/llms/modules.md
@@ -353,6 +353,15 @@ maxdepth: 1
/examples/llm/sagemaker_endpoint_llm.ipynb
```
+## Solar
+
+```{toctree}
+---
+maxdepth: 1
+---
+/examples/llm/solar.ipynb
+```
+
## Together.ai
```{toctree}
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/.gitignore b/llama-index-integrations/llms/llama-index-llms-solar/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..990c18de229088f55c6c514fd0f2d49981d1b0e7
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/.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-solar/BUILD b/llama-index-integrations/llms/llama-index-llms-solar/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..0896ca890d8bffd60a44fa824f8d57fecd73ee53
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/BUILD
@@ -0,0 +1,3 @@
+poetry_requirements(
+ name="poetry",
+)
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/Makefile b/llama-index-integrations/llms/llama-index-llms-solar/Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..b9eab05aa370629a4a3de75df3ff64cd53887b68
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/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-solar/README.md b/llama-index-integrations/llms/llama-index-llms-solar/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..74c256c1f65ec0a03db8167d294a227e772e9e31
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/README.md
@@ -0,0 +1 @@
+# LlamaIndex Llms Integration: Solar
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/BUILD b/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..db46e8d6c978c67e301dd6c47bee08c1b3fd141c
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/__init__.py b/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..b5a36ee495db3095b7827751e6c70c7d48f242fb
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/__init__.py
@@ -0,0 +1,3 @@
+from llama_index.llms.solar.base import Solar
+
+__all__ = ["Solar"]
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/base.py b/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..c954d051adbee3db77f168d8fd3a2c4df3c0ff03
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/llama_index/llms/solar/base.py
@@ -0,0 +1,241 @@
+from typing import (
+ Any,
+ Callable,
+ Dict,
+ Optional,
+ Sequence,
+ Union,
+ Tuple,
+)
+from llama_index.legacy.llms.generic_utils import get_from_param_or_env
+from llama_index.core.base.llms.types import (
+ ChatMessage,
+ ChatResponse,
+ ChatResponseAsyncGen,
+ ChatResponseGen,
+ CompletionResponse,
+ CompletionResponseAsyncGen,
+ CompletionResponseGen,
+ LLMMetadata,
+)
+import httpx
+from llama_index.core.bridge.pydantic import Field
+from llama_index.core.constants import DEFAULT_CONTEXT_WINDOW
+from llama_index.core.base.llms.generic_utils import (
+ async_stream_completion_response_to_chat_response,
+ completion_response_to_chat_response,
+ stream_completion_response_to_chat_response,
+)
+from llama_index.core.types import BaseOutputParser, PydanticProgramMode
+from llama_index.core.bridge.pydantic import Field
+from llama_index.core.callbacks import CallbackManager
+from llama_index.llms.openai.base import OpenAI, Tokenizer
+from transformers import AutoTokenizer
+
+DEFAULT_SOLAR_API_BASE = "https://api.upstage.ai/v1/solar"
+DEFAULT_SOLAR_MODEL = "solar-1-mini-chat"
+
+
+class Solar(OpenAI):
+ api_key: str = Field(default=None, description="The SOLAR API key.")
+ api_base: str = Field(default="", description="The base URL for SOLAR API.")
+
+ model: str = Field(
+ default="solar-1-mini-chat", description="The SOLAR model to use."
+ )
+
+ context_window: int = Field(
+ default=DEFAULT_CONTEXT_WINDOW,
+ description=LLMMetadata.__fields__["context_window"].field_info.description,
+ )
+ is_chat_model: bool = Field(
+ default=False,
+ description=LLMMetadata.__fields__["is_chat_model"].field_info.description,
+ )
+ is_function_calling_model: bool = Field(
+ default=False,
+ description=LLMMetadata.__fields__[
+ "is_function_calling_model"
+ ].field_info.description,
+ )
+ tokenizer: Union[Tokenizer, str, None] = Field(
+ default=None,
+ description=(
+ "An instance of a tokenizer object that has an encode method, or the name"
+ " of a tokenizer model from Hugging Face. If left as None, then this"
+ " disables inference of max_tokens."
+ ),
+ )
+
+ def __init__(
+ self,
+ model: str = DEFAULT_SOLAR_MODEL,
+ temperature: float = 0.1,
+ max_tokens: Optional[int] = None,
+ additional_kwargs: Optional[Dict[str, Any]] = None,
+ max_retries: int = 3,
+ timeout: float = 60.0,
+ reuse_client: bool = True,
+ api_key: Optional[str] = None,
+ api_base: Optional[str] = None,
+ api_version: Optional[str] = None,
+ callback_manager: Optional[CallbackManager] = None,
+ default_headers: Optional[Dict[str, str]] = None,
+ http_client: Optional[httpx.Client] = None,
+ # base class
+ system_prompt: Optional[str] = None,
+ messages_to_prompt: Optional[Callable[[Sequence[ChatMessage]], str]] = None,
+ completion_to_prompt: Optional[Callable[[str], str]] = None,
+ pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
+ output_parser: Optional[BaseOutputParser] = None,
+ **kwargs: Any,
+ ) -> None:
+ api_key, api_base = resolve_solar_credentials(
+ api_key=api_key,
+ api_base=api_base,
+ )
+
+ super().__init__(
+ model=model,
+ temperature=temperature,
+ max_tokens=max_tokens,
+ additional_kwargs=additional_kwargs,
+ max_retries=max_retries,
+ callback_manager=callback_manager,
+ api_key=api_key,
+ api_version=api_version,
+ api_base=api_base,
+ timeout=timeout,
+ reuse_client=reuse_client,
+ default_headers=default_headers,
+ system_prompt=system_prompt,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ pydantic_program_mode=pydantic_program_mode,
+ output_parser=output_parser,
+ **kwargs,
+ )
+
+ @property
+ def metadata(self) -> LLMMetadata:
+ return LLMMetadata(
+ context_window=self.context_window,
+ num_output=self.max_tokens or -1,
+ is_chat_model=self.is_chat_model,
+ is_function_calling_model=self.is_function_calling_model,
+ model_name=self.model,
+ )
+
+ @property
+ def _tokenizer(self) -> Optional[Tokenizer]:
+ if isinstance(self.tokenizer, str):
+ return AutoTokenizer.from_pretrained(self.tokenizer)
+ return self.tokenizer
+
+ @classmethod
+ def class_name(cls) -> str:
+ return "Solar"
+
+ def complete(
+ self, prompt: str, formatted: bool = False, **kwargs: Any
+ ) -> CompletionResponse:
+ """Complete the prompt."""
+ if not formatted:
+ prompt = self.completion_to_prompt(prompt)
+
+ return super().complete(prompt, **kwargs)
+
+ def stream_complete(
+ self, prompt: str, formatted: bool = False, **kwargs: Any
+ ) -> CompletionResponseGen:
+ """Stream complete the prompt."""
+ if not formatted:
+ prompt = self.completion_to_prompt(prompt)
+
+ return super().stream_complete(prompt, **kwargs)
+
+ def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse:
+ """Chat with the model."""
+ if not self.metadata.is_chat_model:
+ prompt = self.messages_to_prompt(messages)
+ completion_response = self.complete(prompt, formatted=True, **kwargs)
+ return completion_response_to_chat_response(completion_response)
+
+ return super().chat(messages, **kwargs)
+
+ def stream_chat(
+ self, messages: Sequence[ChatMessage], **kwargs: Any
+ ) -> ChatResponseGen:
+ if not self.metadata.is_chat_model:
+ prompt = self.messages_to_prompt(messages)
+ completion_response = self.stream_complete(prompt, formatted=True, **kwargs)
+ return stream_completion_response_to_chat_response(completion_response)
+
+ return super().stream_chat(messages, **kwargs)
+
+ # -- Async methods --
+
+ async def acomplete(
+ self, prompt: str, formatted: bool = False, **kwargs: Any
+ ) -> CompletionResponse:
+ """Complete the prompt."""
+ if not formatted:
+ prompt = self.completion_to_prompt(prompt)
+
+ return await super().acomplete(prompt, **kwargs)
+
+ async def astream_complete(
+ self, prompt: str, formatted: bool = False, **kwargs: Any
+ ) -> CompletionResponseAsyncGen:
+ """Stream complete the prompt."""
+ if not formatted:
+ prompt = self.completion_to_prompt(prompt)
+
+ return await super().astream_complete(prompt, **kwargs)
+
+ async def achat(
+ self, messages: Sequence[ChatMessage], **kwargs: Any
+ ) -> ChatResponse:
+ """Chat with the model."""
+ if not self.metadata.is_chat_model:
+ prompt = self.messages_to_prompt(messages)
+ completion_response = await self.acomplete(prompt, formatted=True, **kwargs)
+ return completion_response_to_chat_response(completion_response)
+
+ return await super().achat(messages, **kwargs)
+
+ async def astream_chat(
+ self, messages: Sequence[ChatMessage], **kwargs: Any
+ ) -> ChatResponseAsyncGen:
+ if not self.metadata.is_chat_model:
+ prompt = self.messages_to_prompt(messages)
+ completion_response = await self.astream_complete(
+ prompt, formatted=True, **kwargs
+ )
+ return async_stream_completion_response_to_chat_response(
+ completion_response
+ )
+
+ return await super().astream_chat(messages, **kwargs)
+
+
+def resolve_solar_credentials(
+ api_key: Optional[str] = None,
+ api_base: Optional[str] = None,
+) -> Tuple[Optional[str], str]:
+ """ "Resolve SOLAR credentials.
+
+ The order of precedence is:
+ 1. param
+ 2. env
+ 3. solar module
+ 4. default
+ """
+ # resolve from param or env
+ api_key = get_from_param_or_env("api_key", api_key, "SOLAR_API_KEY", "")
+ api_base = get_from_param_or_env("api_base", api_base, "SOLAR_API_BASE", "")
+
+ final_api_key = api_key or ""
+ final_api_base = api_base or DEFAULT_SOLAR_API_BASE
+
+ return final_api_key, str(final_api_base)
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..619bc2e8be107cb9a057f7063e28e0b804c810e0
--- /dev/null
+++ b/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml
@@ -0,0 +1,64 @@
+[build-system]
+build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core"]
+
+[tool.codespell]
+check-filenames = true
+check-hidden = true
+skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
+
+[tool.llamahub]
+contains_example = false
+import_path = "llama_index.llms.solar"
+
+[tool.llamahub.class_authors]
+Solar = "llama-index"
+
+[tool.mypy]
+disallow_untyped_defs = true
+exclude = ["_static", "build", "examples", "notebooks", "venv"]
+ignore_missing_imports = true
+python_version = "3.8"
+
+[tool.poetry]
+authors = ["Your Name <you@example.com>"]
+description = "llama-index llms solar integration"
+exclude = ["**/BUILD"]
+license = "MIT"
+name = "llama-index-llms-solar"
+readme = "README.md"
+version = "0.1.3"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<4.0"
+llama-index-core = "^0.10.1"
+llama-index-llms-openai = "^0.1.1"
+transformers = "^4.37.0"
+
+[tool.poetry.group.dev.dependencies]
+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"
+types-setuptools = "67.1.0.0"
+
+[tool.poetry.group.dev.dependencies.black]
+extras = ["jupyter"]
+version = "<=23.9.1,>=23.7.0"
+
+[tool.poetry.group.dev.dependencies.codespell]
+extras = ["toml"]
+version = ">=v2.2.6"
+
+[[tool.poetry.packages]]
+include = "llama_index/"