diff --git a/.gitignore b/.gitignore
index 807674fa1ab9fee059c2942a22139cdd77f60eca..219091bdd82b6db50d7e9b2d03630d28c53ac1d1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -17,3 +17,4 @@ mac.env
.coverage
.coverage.*
.pytest_cache
+test.py
\ No newline at end of file
diff --git a/coverage.xml b/coverage.xml
index 9bdbfa3735a680c28c2ffcced9bfe29ca71f5977..8971e377725b410317abda4eb9e53fe209f378c1 100644
--- a/coverage.xml
+++ b/coverage.xml
@@ -1,6 +1,6 @@
<?xml version="1.0" ?>
-<coverage version="7.3.2" timestamp="1702633916069" lines-valid="344" lines-covered="344" line-rate="1" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
- <!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.3.2 -->
+<coverage version="7.3.3" timestamp="1702890603439" lines-valid="344" lines-covered="344" line-rate="1" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
+ <!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.3.3 -->
<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
<sources>
<source>/Users/jakit/customers/aurelio/semantic-router/semantic_router</source>
diff --git a/docs/examples/function_calling.ipynb b/docs/examples/function_calling.ipynb
index 29ca749b96d7a23858d0a785d608c17e2dc2bbdb..2b75af65c8759918840338d84b6b94062c42536d 100644
--- a/docs/examples/function_calling.ipynb
+++ b/docs/examples/function_calling.ipynb
@@ -9,7 +9,7 @@
},
{
"cell_type": "code",
- "execution_count": 79,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -39,7 +39,7 @@
},
{
"cell_type": "code",
- "execution_count": 95,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -48,7 +48,7 @@
"import requests\n",
"\n",
"# Docs https://huggingface.co/docs/transformers/main_classes/text_generation\n",
- "HF_API_TOKEN = os.environ[\"HF_API_TOKEN\"]\n",
+ "HF_API_TOKEN = os.getenv(\"HF_API_TOKEN\")\n",
"\n",
"\n",
"def llm_mistral(prompt: str) -> str:\n",
@@ -91,7 +91,7 @@
},
{
"cell_type": "code",
- "execution_count": 81,
+ "execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
@@ -113,7 +113,7 @@
},
{
"cell_type": "code",
- "execution_count": 82,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -130,7 +130,7 @@
},
{
"cell_type": "code",
- "execution_count": 98,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -167,17 +167,31 @@
" {function_schema}\n",
" \"\"\"\n",
"\n",
- " ai_message = llm_mistral(prompt)\n",
+ " try:\n",
+ " ai_message = llm_mistral(prompt)\n",
"\n",
- " # Parse the response\n",
- " ai_message = ai_message[ai_message.find(\"{\") :]\n",
- " ai_message = ai_message.replace(\"'\", '\"').replace('\"s', \"'s\").strip().rstrip(\",\")\n",
+ " # Parse the response\n",
+ " ai_message = ai_message[ai_message.find(\"{\") :]\n",
+ " ai_message = (\n",
+ " ai_message.replace(\"'\", '\"')\n",
+ " .replace('\"s', \"'s\")\n",
+ " .strip()\n",
+ " .rstrip(\",\")\n",
+ " .replace(\"}\", \"}\")\n",
+ " )\n",
"\n",
- " valid_config = is_valid_config(ai_message)\n",
+ " valid_config = is_valid_config(ai_message)\n",
"\n",
- " if not valid_config:\n",
- " logger.warning(f\"Mistral failed with error, falling back to OpenAI\")\n",
+ " if not valid_config:\n",
+ " logger.warning(f\"Mistral failed with error, falling back to OpenAI\")\n",
+ " ai_message = llm_openai(prompt)\n",
+ " if not is_valid_config(ai_message):\n",
+ " raise Exception(\"Invalid config generated\")\n",
+ " except Exception as e:\n",
+ " logger.error(f\"Fall back to OpenAI failed with error {e}\")\n",
" ai_message = llm_openai(prompt)\n",
+ " if not is_valid_config(ai_message):\n",
+ " raise Exception(\"Failed to generate config\")\n",
"\n",
" try:\n",
" route_config = json.loads(ai_message)\n",
@@ -198,7 +212,7 @@
},
{
"cell_type": "code",
- "execution_count": 84,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -214,7 +228,7 @@
},
{
"cell_type": "code",
- "execution_count": 99,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -294,7 +308,7 @@
},
{
"cell_type": "code",
- "execution_count": 100,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -328,11 +342,12 @@
},
{
"cell_type": "code",
- "execution_count": 101,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from typing import Callable\n",
+ "from semantic_router.layer import RouteLayer\n",
"\n",
"\n",
"def call_function(function: Callable, parameters: dict[str, str]):\n",
@@ -368,16 +383,16 @@
},
{
"cell_type": "code",
- "execution_count": 102,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "\u001b[32m2023-12-15 19:49:03 INFO semantic_router.utils.logger Generating config...\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:03 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:06 INFO semantic_router.utils.logger AI message: \n",
+ "\u001b[32m2023-12-18 11:00:14 INFO semantic_router.utils.logger Generating config...\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:14 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:17 INFO semantic_router.utils.logger AI message: \n",
" Example output:\n",
" {\n",
" \"name\": \"get_time\",\n",
@@ -385,14 +400,14 @@
" \"What's the time in New York?\",\n",
" \"Tell me the time in Tokyo.\",\n",
" \"Can you give me the time in London?\",\n",
- " \"What's the current time in Paris?\",\n",
- " \"Can you tell me the time in Sydney?\"\n",
+ " \"What's the current time in Sydney?\",\n",
+ " \"Can you tell me the time in Berlin?\"\n",
" ]\n",
" }\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:06 INFO semantic_router.utils.logger Generated config: {'name': 'get_time', 'utterances': [\"What's the time in New York?\", 'Tell me the time in Tokyo.', 'Can you give me the time in London?', \"What's the current time in Paris?\", 'Can you tell me the time in Sydney?']}\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:06 INFO semantic_router.utils.logger Generating config...\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:06 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:10 INFO semantic_router.utils.logger AI message: \n",
+ "\u001b[32m2023-12-18 11:00:17 INFO semantic_router.utils.logger Generated config: {'name': 'get_time', 'utterances': [\"What's the time in New York?\", 'Tell me the time in Tokyo.', 'Can you give me the time in London?', \"What's the current time in Sydney?\", 'Can you tell me the time in Berlin?']}\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:17 INFO semantic_router.utils.logger Generating config...\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:17 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:21 INFO semantic_router.utils.logger AI message: \n",
" Example output:\n",
" {\n",
" \"name\": \"get_news\",\n",
@@ -404,15 +419,15 @@
" \"What's the latest news from Germany?\"\n",
" ]\n",
" }\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:10 INFO semantic_router.utils.logger Generated config: {'name': 'get_news', 'utterances': ['Tell me the latest news from the US', \"What's happening in India today?\", 'Get me the top stories from Japan', 'Can you give me the breaking news from Brazil?', \"What's the latest news from Germany?\"]}\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:10 INFO semantic_router.utils.logger Creating route layer...\u001b[0m\n"
+ "\u001b[32m2023-12-18 11:00:21 INFO semantic_router.utils.logger Generated config: {'name': 'get_news', 'utterances': ['Tell me the latest news from the US', \"What's happening in India today?\", 'Get me the top stories from Japan', 'Can you give me the breaking news from Brazil?', \"What's the latest news from Germany?\"]}\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:21 INFO semantic_router.utils.logger Creating route layer...\u001b[0m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Route: {'name': 'get_time', 'utterances': [\"What's the time in New York?\", 'Tell me the time in Tokyo.', 'Can you give me the time in London?', \"What's the current time in Paris?\", 'Can you tell me the time in Sydney?']}\n",
+ "Route: {'name': 'get_time', 'utterances': [\"What's the time in New York?\", 'Tell me the time in Tokyo.', 'Can you give me the time in London?', \"What's the current time in Sydney?\", 'Can you tell me the time in Berlin?']}\n",
"Route: {'name': 'get_news', 'utterances': ['Tell me the latest news from the US', \"What's happening in India today?\", 'Get me the top stories from Japan', 'Can you give me the breaking news from Brazil?', \"What's the latest news from Germany?\"]}\n"
]
}
@@ -445,20 +460,20 @@
},
{
"cell_type": "code",
- "execution_count": 103,
+ "execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "\u001b[32m2023-12-15 19:49:13 INFO semantic_router.utils.logger Extracting parameters...\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:13 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:15 INFO semantic_router.utils.logger AI message: \n",
+ "\u001b[32m2023-12-18 11:00:22 INFO semantic_router.utils.logger Extracting parameters...\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:22 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:23 INFO semantic_router.utils.logger AI message: \n",
" {\n",
" \"location\": \"Stockholm\"\n",
" }\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:15 INFO semantic_router.utils.logger Extracted parameters: {'location': 'Stockholm'}\u001b[0m\n"
+ "\u001b[32m2023-12-18 11:00:23 INFO semantic_router.utils.logger Extracted parameters: {'location': 'Stockholm'}\u001b[0m\n"
]
},
{
@@ -473,14 +488,14 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "\u001b[32m2023-12-15 19:49:15 INFO semantic_router.utils.logger Extracting parameters...\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:15 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:16 INFO semantic_router.utils.logger AI message: \n",
+ "\u001b[32m2023-12-18 11:00:23 INFO semantic_router.utils.logger Extracting parameters...\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:23 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:25 INFO semantic_router.utils.logger AI message: \n",
" {\n",
" \"category\": \"tech\",\n",
" \"country\": \"Lithuania\"\n",
" }\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:16 INFO semantic_router.utils.logger Extracted parameters: {'category': 'tech', 'country': 'Lithuania'}\u001b[0m\n"
+ "\u001b[32m2023-12-18 11:00:25 INFO semantic_router.utils.logger Extracted parameters: {'category': 'tech', 'country': 'Lithuania'}\u001b[0m\n"
]
},
{
@@ -495,9 +510,9 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "\u001b[33m2023-12-15 19:49:16 WARNING semantic_router.utils.logger No function found\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:16 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
- "\u001b[32m2023-12-15 19:49:17 INFO semantic_router.utils.logger AI message: How can I help you today?\u001b[0m\n"
+ "\u001b[33m2023-12-18 11:00:25 WARNING semantic_router.utils.logger No function found\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:25 INFO semantic_router.utils.logger Calling Mistral model\u001b[0m\n",
+ "\u001b[32m2023-12-18 11:00:26 INFO semantic_router.utils.logger AI message: How can I help you today?\u001b[0m\n"
]
},
{
@@ -506,7 +521,7 @@
"' How can I help you today?'"
]
},
- "execution_count": 103,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -517,129 +532,12 @@
"call(query=\"Hi!\", functions=tools, router=router)"
]
},
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "[0.23461914, 0.50146484, -0.048828125, 0.13989258, -0.18029785]\n"
- ]
- }
- ],
- "source": [
- "import cohere\n",
- "import os\n",
- "\n",
- "co = cohere.Client(api_key=os.environ[\"COHERE_API_KEY\"])\n",
- "texts = [\n",
- " \"Hello from Cohere!\",\n",
- " \"مرØبًا من كوهير!\",\n",
- " \"Hallo von Cohere!\",\n",
- " \"Bonjour de Cohere!\",\n",
- " \"¡Hola desde Cohere!\",\n",
- " \"Olá do Cohere!\",\n",
- " \"Ciao da Cohere!\",\n",
- " \"您好，æ¥è‡ª Cohereï¼\",\n",
- " \"कोहेरे से नमसà¥à¤¤à¥‡!\",\n",
- "]\n",
- "response = co.embed(texts=texts, model=\"embed-multilingual-v2.0\")\n",
- "embeddings = response.embeddings # All text embeddings\n",
- "print(embeddings[0][:5]) # Print embeddings for the first text"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "response = co.detect_language(\n",
- " texts=[\n",
- " \"\"\"Lenkijos įstatymų leidÄ—jai pavedÄ— buvusiam Europos Vadovų Tarybos vadovui Donaldui Tuskui suformuoti VyriausybÄ™ po aÅ¡tuonerius metus trukusio deÅ¡iniųjų valdymo. Ar tai reiÅ¡kia, kad baigsis Lenkijos pykÄiai su Ukraina ir Europos SÄ…junga? Ar tai gera žinia ir Lietuvai? Kokių pokyÄių apskritai reikÄ—tų tikÄ—tis? Apie tai buvo diskutuojama Žinių radijo laidoje „Aktualusis interviu\"\"\"\n",
- " ]\n",
- ")\n",
- "\n",
- "response\n",
- "texts = [\n",
- " \"\"\"Lenkijos įstatymų leidÄ—jai pavedÄ— buvusiam Europos Vadovų Tarybos vadovui Donaldui Tuskui suformuoti VyriausybÄ™ po aÅ¡tuonerius metus trukusio deÅ¡iniųjų valdymo. Ar tai reiÅ¡kia, kad baigsis Lenkijos pykÄiai su Ukraina ir Europos SÄ…junga? Ar tai gera žinia ir Lietuvai? Kokių pokyÄių apskritai reikÄ—tų tikÄ—tis? Apie tai buvo diskutuojama Žinių radijo laidoje „Aktualusis interviu\"\"\"\n",
- "]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "embeds = co.embed(\n",
- " texts=texts, model=\"embed-multilingual-v2.0\", input_type=\"search_document\"\n",
- ").embeddings"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "True"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from annoy import AnnoyIndex\n",
- "import numpy as np\n",
- "\n",
- "# Create the search index, pass the size of embedding\n",
- "search_index = AnnoyIndex(np.array(embeds).shape[1], \"angular\")\n",
- "\n",
- "# Add all the vectors to the search index\n",
- "for i in range(len(embeds)):\n",
- " search_index.add_item(i, embeds[i])\n",
- "search_index.build(10) # 10 trees\n",
- "search_index.save(\"test.ann\")"
- ]
- },
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
- "source": [
- "query = \"What is the tallest mountain in the world?\"\n",
- "input_type_query = \"search_query\"\n",
- "\n",
- "# Get the query's embedding\n",
- "query_embed = co.embed(\n",
- " texts=[query], model=\"embed-multilingual-v2.0\", input_type=input_type_query\n",
- ").embeddings\n",
- "\n",
- "# Retrieve the nearest neighbors\n",
- "similar_item_ids = search_index.get_nns_by_vector(\n",
- " query_embed[0], 10, include_distances=True\n",
- ")\n",
- "# Format the results\n",
- "query_results = pd.DataFrame(\n",
- " data={\n",
- " \"texts\": df.iloc[similar_item_ids[0]][\"text\"],\n",
- " \"distance\": similar_item_ids[1],\n",
- " }\n",
- ")\n",
- "\n",
- "\n",
- "print(f\"Query:'{query}'\\nNearest neighbors:\")\n",
- "print(query_results) # NOTE: Your results might look slightly different to ours"
- ]
+ "source": []
}
],
"metadata": {
diff --git a/poetry.lock b/poetry.lock
index 6cd649bb3a862454e10e17ba66eadeaf900b9871..1651b73b87541fa9bcd830c7cfcabc3aaab5aa68 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -123,19 +123,20 @@ files = [
[[package]]
name = "anyio"
-version = "4.1.0"
+version = "4.2.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
- {file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"},
- {file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"},
+ {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+ {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
@@ -449,13 +450,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "cohere"
-version = "4.38"
+version = "4.39"
description = "Python SDK for the Cohere API"
optional = false
python-versions = ">=3.8,<4.0"
files = [
- {file = "cohere-4.38-py3-none-any.whl", hash = "sha256:f0edcf779aa6759dd2f91db37dec7b06303029effbd38fecc4e0f8af36aae757"},
- {file = "cohere-4.38.tar.gz", hash = "sha256:232cde3bb932b154effdab4b78f195032ee2188bf3ae9f1c883a51291307f996"},
+ {file = "cohere-4.39-py3-none-any.whl", hash = "sha256:7f157b7ac0a70b1dda77dc56c4fc063e8d21efcd2bb13759cd5b6839080405e7"},
+ {file = "cohere-4.39.tar.gz", hash = "sha256:9e94bb1e5b2e2d464738e0ab3c99ed2879c043cccc90ecbeffd124e81867745d"},
]
[package.dependencies]
@@ -513,63 +514,63 @@ test = ["pytest"]
[[package]]
name = "coverage"
-version = "7.3.2"
+version = "7.3.3"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "coverage-7.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d872145f3a3231a5f20fd48500274d7df222e291d90baa2026cc5152b7ce86bf"},
- {file = "coverage-7.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:310b3bb9c91ea66d59c53fa4989f57d2436e08f18fb2f421a1b0b6b8cc7fffda"},
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stack-data = "*"
traitlets = ">=5"
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+ {file = "psutil-5.9.7-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe8b7f07948f1304497ce4f4684881250cd859b16d06a1dc4d7941eeb6233bfe"},
+ {file = "psutil-5.9.7-cp36-cp36m-win32.whl", hash = "sha256:b27f8fdb190c8c03914f908a4555159327d7481dac2f01008d483137ef3311a9"},
+ {file = "psutil-5.9.7-cp36-cp36m-win_amd64.whl", hash = "sha256:44969859757f4d8f2a9bd5b76eba8c3099a2c8cf3992ff62144061e39ba8568e"},
+ {file = "psutil-5.9.7-cp37-abi3-win32.whl", hash = "sha256:c727ca5a9b2dd5193b8644b9f0c883d54f1248310023b5ad3e92036c5e2ada68"},
+ {file = "psutil-5.9.7-cp37-abi3-win_amd64.whl", hash = "sha256:f37f87e4d73b79e6c5e749440c3113b81d1ee7d26f21c19c47371ddea834f414"},
+ {file = "psutil-5.9.7-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:032f4f2c909818c86cea4fe2cc407f1c0f0cde8e6c6d702b28b8ce0c0d143340"},
+ {file = "psutil-5.9.7.tar.gz", hash = "sha256:3f02134e82cfb5d089fddf20bb2e03fd5cd52395321d1c8458a9e58500ff417c"},
]
[package.extras]
@@ -2213,5 +2232,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
-python-versions = "^3.10"
-content-hash = "8d9e62152a77382c673b01ba8279001795093ae90fc9d67e4073f4c1b5b5c10e"
+python-versions = "^3.9"
+content-hash = "c4dd0aba41578b1bb2c34b63d0ab86153b69f9ff524b03dbff6f5b92f8723ff0"
diff --git a/pyproject.toml b/pyproject.toml
index dc0b853ec5ac8549dd1c3dfac91323d726d4f3d5..aeda39c48607193a17cb92bbb70774fceb546595 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "semantic-router"
-version = "0.0.9"
+version = "0.0.11"
description = "Super fast semantic router for AI decision making"
authors = [
"James Briggs <james@aurelio.ai>",
@@ -12,7 +12,7 @@ authors = [
readme = "README.md"
[tool.poetry.dependencies]
-python = "^3.10"
+python = "^3.9"
pydantic = "^1.8.2"
openai = "^1.3.9"
cohere = "^4.32"
diff --git a/semantic_router/encoders/openai.py b/semantic_router/encoders/openai.py
index 1375c57ac3abbd40d6a92fa4350ee108483138c6..d02787a38fa8b73d055b8dea16ea540242826ecc 100644
--- a/semantic_router/encoders/openai.py
+++ b/semantic_router/encoders/openai.py
@@ -36,7 +36,7 @@ class OpenAIEncoder(BaseEncoder):
try:
logger.info(f"Encoding {len(docs)} documents...")
embeds = self.client.embeddings.create(input=docs, model=self.name)
- if isinstance(embeds, dict) and "data" in embeds:
+ if "data" in embeds:
break
except OpenAIError as e:
sleep(2**j)
diff --git a/tests/unit/encoders/test_openai.py b/tests/unit/encoders/test_openai.py
index f67bce1e3137d8e9fa0cf7db0042bfa404cbc9d3..501a9b04f5d12c59e014edb6bc5798d2aa9d31b5 100644
--- a/tests/unit/encoders/test_openai.py
+++ b/tests/unit/encoders/test_openai.py
@@ -71,6 +71,7 @@ class TestOpenAIEncoder:
)
with pytest.raises(ValueError) as e:
openai_encoder(["test document"])
+
assert "OpenAI API call failed. Error: Non-OpenAIError" in str(e.value)
def test_openai_encoder_call_successful_retry(self, openai_encoder, mocker):