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mistralai: Add langchain-mistralai partner package (#14783)
Co-authored-by: Chad Phillips <[email protected]>
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "raw", | ||
"id": "53fbf15f", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"sidebar_label: MistralAI\n", | ||
"---" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "bf733a38-db84-4363-89e2-de6735c37230", | ||
"metadata": {}, | ||
"source": [ | ||
"# ChatMistralAI\n", | ||
"\n", | ||
"This notebook covers how to get started with MistralAI chat models, via their [API](https://docs.mistral.ai/api/).\n", | ||
"\n", | ||
"A valid [API key](https://console.mistral.ai/users/api-keys/) is needed to communicate with the API." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9", | ||
"metadata": { | ||
"tags": [] | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"from langchain_core.messages import HumanMessage\n", | ||
"from langchain_mistralai.chat_models import ChatMistralAI" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"id": "70cf04e8-423a-4ff6-8b09-f11fb711c817", | ||
"metadata": { | ||
"tags": [] | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import os\n", | ||
"\n", | ||
"mistral_api_key = os.environ.get(\"MISTRAL_API_KEY\")\n", | ||
"# If mistral_api_key is not passed, default behavior is to use the `MISTRAL_API_KEY` environment variable.\n", | ||
"chat = ChatMistralAI(mistral_api_key=mistral_api_key)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "8199ef8f-eb8b-4253-9ea0-6c24a013ca4c", | ||
"metadata": { | ||
"tags": [] | ||
}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"AIMessage(content=\"Hello! I'm here to assist you. How can I help you today? If you have any questions or need information on a particular topic, feel free to ask. I'm ready to provide accurate and helpful answers to the best of my ability.\")" | ||
] | ||
}, | ||
"execution_count": 3, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"messages = [HumanMessage(content=\"say a brief hello\")]\n", | ||
"chat.invoke(messages)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "c361ab1e-8c0c-4206-9e3c-9d1424a12b9c", | ||
"metadata": {}, | ||
"source": [ | ||
"## `ChatMistralAI` also supports async and streaming functionality:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "c5fac0e9-05a4-4fc1-a3b3-e5bbb24b971b", | ||
"metadata": { | ||
"tags": [] | ||
}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"AIMessage(content=\"Hello! I'm glad you're here. If you have any questions or need assistance with something related to programming or software development, feel free to ask. I'll do my best to help you out. Have a great day!\")" | ||
] | ||
}, | ||
"execution_count": 4, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"await chat.ainvoke(messages)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "025be980-e50d-4a68-93dc-c9c7b500ce34", | ||
"metadata": { | ||
"tags": [] | ||
}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Hello! I'm happy to assist you. Is there a specific question or topic you would like to discuss? I can provide information and answer questions on a wide variety of subjects." | ||
] | ||
} | ||
], | ||
"source": [ | ||
"for chunk in chat.stream(messages):\n", | ||
" print(chunk.content, end=\"\")" | ||
] | ||
} | ||
], | ||
"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", | ||
"version": "3.9.1" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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__pycache__ |
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MIT License | ||
|
||
Copyright (c) 2023 LangChain, Inc. | ||
|
||
Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
|
||
The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
|
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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.PHONY: all format lint test tests integration_tests docker_tests help extended_tests | ||
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# Default target executed when no arguments are given to make. | ||
all: help | ||
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# Define a variable for the test file path. | ||
TEST_FILE ?= tests/unit_tests/ | ||
INTEGRATION_TEST_FILE ?= tests/integration_tests/ | ||
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integration_test integration_tests: TEST_FILE=$(INTEGRATION_TEST_FILE) | ||
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test tests: | ||
poetry run pytest $(TEST_FILE) | ||
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integration_test integration_tests: | ||
poetry run pytest $(TEST_FILE) | ||
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###################### | ||
# LINTING AND FORMATTING | ||
###################### | ||
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# Define a variable for Python and notebook files. | ||
PYTHON_FILES=. | ||
MYPY_CACHE=.mypy_cache | ||
lint format: PYTHON_FILES=. | ||
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/mistral --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') | ||
lint_package: PYTHON_FILES=langchain_mistralai | ||
lint_tests: PYTHON_FILES=tests | ||
lint_tests: MYPY_CACHE=.mypy_cache_test | ||
|
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lint lint_diff lint_package lint_tests: | ||
poetry run ruff . | ||
poetry run ruff format $(PYTHON_FILES) --diff | ||
poetry run ruff --select I $(PYTHON_FILES) | ||
mkdir $(MYPY_CACHE); poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) | ||
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format format_diff: | ||
poetry run ruff format $(PYTHON_FILES) | ||
poetry run ruff --select I --fix $(PYTHON_FILES) | ||
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spell_check: | ||
poetry run codespell --toml pyproject.toml | ||
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spell_fix: | ||
poetry run codespell --toml pyproject.toml -w | ||
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check_imports: $(shell find langchain_mistralai -name '*.py') | ||
poetry run python ./scripts/check_imports.py $^ | ||
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###################### | ||
# HELP | ||
###################### | ||
|
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help: | ||
@echo '----' | ||
@echo 'check_imports - check imports' | ||
@echo 'format - run code formatters' | ||
@echo 'lint - run linters' | ||
@echo 'test - run unit tests' | ||
@echo 'tests - run unit tests' | ||
@echo 'test TEST_FILE=<test_file> - run all tests in file' |
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# langchain-mistralai |
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from langchain_mistralai.chat_models import ChatMistralAI | ||
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__all__ = ["ChatMistralAI"] |
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