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Docs to use LLMSymbolicMath and LLMBash + utilities from experimental (#11614)

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Update docs in lieu of:

https://github.com/langchain-ai/langchain/discussions/11352
This commit is contained in:
Eugene Yurtsev
2023-10-10 13:11:46 -04:00
committed by GitHub
parent b56ca0c2a4
commit b6a2507794
2 changed files with 35 additions and 45 deletions
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48
docs/docs_skeleton/docs/use_cases/more/code_writing/llm_bash.ipynb
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@@ -10,7 +10,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 1,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -37,13 +37,13 @@
"'Hello World\\n'" "'Hello World\\n'"
] ]
}, },
"execution_count": 9, "execution_count": 1,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"from langchain.chains import LLMBashChain\n", "from langchain_experimental.llm_bash.base import LLMBashChain\n",
"from langchain.llms import OpenAI\n", "from langchain.llms import OpenAI\n",
"\n", "\n",
"llm = OpenAI(temperature=0)\n", "llm = OpenAI(temperature=0)\n",
@@ -65,7 +65,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -98,7 +98,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -125,7 +125,7 @@
"'Hello World\\n'" "'Hello World\\n'"
] ]
}, },
"execution_count": 11, "execution_count": 3,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -149,7 +149,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": 4,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -166,28 +166,24 @@
"cd ..\n", "cd ..\n",
"```\u001b[0m\n", "```\u001b[0m\n",
"Code: \u001b[33;1m\u001b[1;3m['ls', 'cd ..']\u001b[0m\n", "Code: \u001b[33;1m\u001b[1;3m['ls', 'cd ..']\u001b[0m\n",
"Answer: \u001b[33;1m\u001b[1;3mapi.html\t\t\tllm_summarization_checker.html\n", "Answer: \u001b[33;1m\u001b[1;3mcpal.ipynb llm_bash.ipynb llm_symbolic_math.ipynb\n",
"constitutional_chain.html\tmoderation.html\n", "index.mdx llm_math.ipynb pal.ipynb\u001b[0m\n",
"llm_bash.html\t\t\topenai_openapi.yaml\n",
"llm_checker.html\t\topenapi.html\n",
"llm_math.html\t\t\tpal.html\n",
"llm_requests.html\t\tsqlite.html\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n" "\u001b[1m> Finished chain.\u001b[0m\n"
] ]
}, },
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"'api.html\\t\\t\\tllm_summarization_checker.html\\r\\nconstitutional_chain.html\\tmoderation.html\\r\\nllm_bash.html\\t\\t\\topenai_openapi.yaml\\r\\nllm_checker.html\\t\\topenapi.html\\r\\nllm_math.html\\t\\t\\tpal.html\\r\\nllm_requests.html\\t\\tsqlite.html'" "'cpal.ipynb llm_bash.ipynb llm_symbolic_math.ipynb\\r\\nindex.mdx llm_math.ipynb pal.ipynb'"
] ]
}, },
"execution_count": 12, "execution_count": 4,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"from langchain.utilities.bash import BashProcess\n", "from langchain_experimental.llm_bash.bash import BashProcess\n",
"\n", "\n",
"\n", "\n",
"persistent_process = BashProcess(persistent=True)\n", "persistent_process = BashProcess(persistent=True)\n",
@@ -200,7 +196,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -217,18 +213,19 @@
"cd ..\n", "cd ..\n",
"```\u001b[0m\n", "```\u001b[0m\n",
"Code: \u001b[33;1m\u001b[1;3m['ls', 'cd ..']\u001b[0m\n", "Code: \u001b[33;1m\u001b[1;3m['ls', 'cd ..']\u001b[0m\n",
"Answer: \u001b[33;1m\u001b[1;3mexamples\t\tgetting_started.html\tindex_examples\n", "Answer: \u001b[33;1m\u001b[1;3m_category_.yml\tdata_generation.ipynb\t\t self_check\n",
"generic\t\t\thow_to_guides.rst\u001b[0m\n", "agents\t\tgraph\n",
"code_writing\tlearned_prompt_optimization.ipynb\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n" "\u001b[1m> Finished chain.\u001b[0m\n"
] ]
}, },
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"'examples\\t\\tgetting_started.html\\tindex_examples\\r\\ngeneric\\t\\t\\thow_to_guides.rst'" "'_category_.yml\\tdata_generation.ipynb\\t\\t self_check\\r\\nagents\\t\\tgraph\\r\\ncode_writing\\tlearned_prompt_optimization.ipynb'"
] ]
}, },
"execution_count": 13, "execution_count": 5,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -237,13 +234,6 @@
"# Run the same command again and see that the state is maintained between calls\n", "# Run the same command again and see that the state is maintained between calls\n",
"bash_chain.run(text)" "bash_chain.run(text)"
] ]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
} }
], ],
"metadata": { "metadata": {
@@ -262,7 +252,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.3" "version": "3.11.4"
} }
}, },
"nbformat": 4, "nbformat": 4,

32
docs/docs_skeleton/docs/use_cases/more/code_writing/llm_symbolic_math.ipynb
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@@ -10,12 +10,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"from langchain.llms import OpenAI\n", "from langchain.llms import OpenAI\n",
"from langchain.chains.llm_symbolic_math.base import LLMSymbolicMathChain\n", "from langchain_experimental.llm_symbolic_math.base import LLMSymbolicMathChain\n",
"\n", "\n",
"llm = OpenAI(temperature=0)\n", "llm = OpenAI(temperature=0)\n",
"llm_symbolic_math = LLMSymbolicMathChain.from_llm(llm)" "llm_symbolic_math = LLMSymbolicMathChain.from_llm(llm)"
@@ -30,7 +30,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 23, "execution_count": 4,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -39,7 +39,7 @@
"'Answer: exp(x)*sin(x) + exp(x)*cos(x)'" "'Answer: exp(x)*sin(x) + exp(x)*cos(x)'"
] ]
}, },
"execution_count": 23, "execution_count": 4,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -50,7 +50,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 18, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -59,7 +59,7 @@
"'Answer: exp(x)*sin(x)'" "'Answer: exp(x)*sin(x)'"
] ]
}, },
"execution_count": 18, "execution_count": 5,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -79,7 +79,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 19, "execution_count": 6,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -88,7 +88,7 @@
"'Answer: Eq(y(t), C2*exp(-t) + (C1 + t/2)*exp(t))'" "'Answer: Eq(y(t), C2*exp(-t) + (C1 + t/2)*exp(t))'"
] ]
}, },
"execution_count": 19, "execution_count": 6,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -99,7 +99,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": 7,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -108,7 +108,7 @@
"'Answer: {0, -sqrt(3)*I/3, sqrt(3)*I/3}'" "'Answer: {0, -sqrt(3)*I/3, sqrt(3)*I/3}'"
] ]
}, },
"execution_count": 21, "execution_count": 7,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -119,7 +119,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 22, "execution_count": 8,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@@ -128,7 +128,7 @@
"'Answer: (3 - sqrt(7), -sqrt(7) - 2, 1 - sqrt(7)), (sqrt(7) + 3, -2 + sqrt(7), 1 + sqrt(7))'" "'Answer: (3 - sqrt(7), -sqrt(7) - 2, 1 - sqrt(7)), (sqrt(7) + 3, -2 + sqrt(7), 1 + sqrt(7))'"
] ]
}, },
"execution_count": 22, "execution_count": 8,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -140,9 +140,9 @@
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "venv", "display_name": "Python 3 (ipykernel)",
"language": "python", "language": "python",
"name": "venv" "name": "python3"
}, },
"language_info": { "language_info": {
"codemirror_mode": { "codemirror_mode": {
@@ -154,9 +154,9 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.3" "version": "3.11.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 2 "nbformat_minor": 4
} }