mirror of
https://github.com/hwchase17/langchain.git
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Thank you for contributing to LangChain!
- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs changes, "infra: ..."
for CI changes.
- Example: "community: add foobar LLM"
- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** a description of the change
- **Issue:** the issue # it fixes, if applicable
- **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!
- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.
- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, eyurtsev, ccurme, vbarda, hwchase17.
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
This commit is contained in:
Michael Li
GitHub
@@ -26,7 +26,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"id": "f7b3767b",
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"metadata": {
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"tags": []
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@@ -83,40 +83,39 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "851fee9f",
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"metadata": {
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"tags": []
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},
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"execution_count": null,
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"id": "7f056cc3-628d-46ba-b394-ee1d89f8650a",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"================================\u001b[1m Human Message \u001b[0m=================================\n",
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"\n",
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"Download the README here and identify the link for LangChain tutorials: https://raw.githubusercontent.com/langchain-ai/langchain/master/README.md\n",
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"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
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"Tool Calls:\n",
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" terminal (call_mr86V0d6E9nQiJZT7Xw5fH0G)\n",
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" Call ID: call_mr86V0d6E9nQiJZT7Xw5fH0G\n",
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" Args:\n",
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" commands: ['curl -o README.md https://raw.githubusercontent.com/langchain-ai/langchain/master/README.md']\n",
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"Executing command:\n",
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" ['curl -o README.md https://raw.githubusercontent.com/langchain-ai/langchain/master/README.md']\n",
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"=================================\u001b[1m Tool Message \u001b[0m=================================\n",
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"Name: terminal\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3mQuestion: What is the task?\n",
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"Thought: We need to download the langchain.com webpage and extract all the URLs from it. Then we need to sort the URLs and return them.\n",
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"Action:\n",
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"```\n",
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"{\n",
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" \"action\": \"shell\",\n",
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" \"action_input\": {\n",
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" \"commands\": [\n",
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" \"curl -s https://langchain.com | grep -o 'http[s]*://[^\\\" ]*' | sort\"\n",
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" ]\n",
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" }\n",
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"}\n",
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"```\n",
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"\u001b[0m"
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" % Total % Received % Xferd Average Speed Time Time Time Current\n",
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" Dload Upload Total Spent Left Speed\n",
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"100 5169 100 5169 0 0 114k 0 --:--:-- --:--:-- --:--:-- 114k\n",
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"\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/wfh/code/lc/lckg/langchain/tools/shell/tool.py:34: UserWarning: The shell tool has no safeguards by default. Use at your own risk.\n",
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"/langchain/libs/community/langchain_community/tools/shell/tool.py:33: UserWarning: The shell tool has no safeguards by default. Use at your own risk.\n",
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" warnings.warn(\n"
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]
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},
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@@ -124,50 +123,58 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
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"Tool Calls:\n",
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" terminal (call_LF8TGrgS84WvUvaazYnVfib8)\n",
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" Call ID: call_LF8TGrgS84WvUvaazYnVfib8\n",
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" Args:\n",
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" commands: [\"grep -i 'tutorial' README.md\"]\n",
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"Executing command:\n",
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" [\"grep -i 'tutorial' README.md\"]\n",
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"=================================\u001b[1m Tool Message \u001b[0m=================================\n",
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"Name: terminal\n",
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"\n",
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"Observation: \u001b[36;1m\u001b[1;3mhttps://blog.langchain.dev/\n",
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"https://discord.gg/6adMQxSpJS\n",
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"https://docs.langchain.com/docs/\n",
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"https://github.com/hwchase17/chat-langchain\n",
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"https://github.com/hwchase17/langchain\n",
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"https://github.com/hwchase17/langchainjs\n",
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"https://github.com/sullivan-sean/chat-langchainjs\n",
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"https://js.langchain.com/docs/\n",
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"https://python.langchain.com/en/latest/\n",
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"https://twitter.com/langchainai\n",
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"\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3mThe URLs have been successfully extracted and sorted. We can return the list of URLs as the final answer.\n",
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"Final Answer: [\"https://blog.langchain.dev/\", \"https://discord.gg/6adMQxSpJS\", \"https://docs.langchain.com/docs/\", \"https://github.com/hwchase17/chat-langchain\", \"https://github.com/hwchase17/langchain\", \"https://github.com/hwchase17/langchainjs\", \"https://github.com/sullivan-sean/chat-langchainjs\", \"https://js.langchain.com/docs/\", \"https://python.langchain.com/en/latest/\", \"https://twitter.com/langchainai\"]\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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"- [Tutorials](https://python.langchain.com/docs/tutorials/): Simple walkthroughs with\n",
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"\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'[\"https://blog.langchain.dev/\", \"https://discord.gg/6adMQxSpJS\", \"https://docs.langchain.com/docs/\", \"https://github.com/hwchase17/chat-langchain\", \"https://github.com/hwchase17/langchain\", \"https://github.com/hwchase17/langchainjs\", \"https://github.com/sullivan-sean/chat-langchainjs\", \"https://js.langchain.com/docs/\", \"https://python.langchain.com/en/latest/\", \"https://twitter.com/langchainai\"]'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/langchain/libs/community/langchain_community/tools/shell/tool.py:33: UserWarning: The shell tool has no safeguards by default. Use at your own risk.\n",
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" warnings.warn(\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
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"\n",
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"The link for LangChain tutorials in the README is: https://python.langchain.com/docs/tutorials/\n"
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]
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}
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],
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"source": [
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"from langchain.agents import AgentType, initialize_agent\n",
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"from langchain_openai import ChatOpenAI\n",
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"from langgraph.prebuilt import create_react_agent\n",
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"\n",
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"llm = ChatOpenAI(temperature=0)\n",
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"tools = [shell_tool]\n",
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"agent = create_react_agent(\"openai:gpt-4.1-mini\", tools)\n",
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"\n",
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"shell_tool.description = shell_tool.description + f\"args {shell_tool.args}\".replace(\n",
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" \"{\", \"{{\"\n",
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").replace(\"}\", \"}}\")\n",
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"self_ask_with_search = initialize_agent(\n",
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" [shell_tool], llm, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
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")\n",
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"self_ask_with_search.run(\n",
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" \"Download the langchain.com webpage and grep for all urls. Return only a sorted list of them. Be sure to use double quotes.\"\n",
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")"
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"input_message = {\n",
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" \"role\": \"user\",\n",
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" \"content\": (\n",
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" \"Download the README here and identify the link for LangChain tutorials: \"\n",
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" \"https://raw.githubusercontent.com/langchain-ai/langchain/master/README.md\"\n",
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" ),\n",
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"}\n",
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"\n",
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"for step in agent.stream(\n",
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" {\"messages\": [input_message]},\n",
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" stream_mode=\"values\",\n",
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"):\n",
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" step[\"messages\"][-1].pretty_print()"
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]
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},
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{
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@@ -195,7 +202,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.10.4"
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}
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},
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"nbformat": 4,
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