Spaces:
Configuration error
Configuration error
File size: 26,466 Bytes
447ebeb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# LiteLLM x IBM [watsonx.ai](https://www.ibm.com/products/watsonx-ai)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pre-Requisites"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!pip install litellm"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set watsonx.ai Credentials\n",
"\n",
"See [this documentation](https://cloud.ibm.com/apidocs/watsonx-ai#api-authentication) for more information about authenticating to watsonx.ai"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import litellm\n",
"from litellm.llms.watsonx import IBMWatsonXAI\n",
"litellm.set_verbose = False\n",
"\n",
"os.environ[\"WATSONX_URL\"] = \"\" # Your watsonx.ai base URL\n",
"os.environ[\"WATSONX_APIKEY\"] = \"\" # Your IBM cloud API key or watsonx.ai token\n",
"os.environ[\"WATSONX_PROJECT_ID\"] = \"\" # ID of your watsonx.ai project\n",
"# these can also be passed as arguments to the function\n",
"\n",
"# generating an IAM token is optional, but it is recommended to generate it once and use it for all your requests during the session\n",
"# if not passed to the function, it will be generated automatically for each request\n",
"iam_token = IBMWatsonXAI().generate_iam_token(api_key=os.environ[\"WATSONX_APIKEY\"]) \n",
"# you can also set os.environ[\"WATSONX_TOKEN\"] = iam_token"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Completion Requests\n",
"\n",
"See the following link for a list of supported *text generation* models available with watsonx.ai:\n",
"\n",
"https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/fm-models.html?context=wx&locale=en&audience=wdp"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Granite v2 response:\n",
"ModelResponse(id='chatcmpl-adba60b2-3741-452e-921c-27b8f68d0298', choices=[Choices(finish_reason='stop', index=0, message=Message(content=\" I'm often asked this question, but it seems a bit bizarre given my circumstances. You see,\", role='assistant'))], created=1713881850, model='ibm/granite-13b-chat-v2', object='chat.completion', system_fingerprint=None, usage=Usage(prompt_tokens=8, completion_tokens=20, total_tokens=28), finish_reason='max_tokens')\n",
"LLaMa 3 8b response:\n",
"ModelResponse(id='chatcmpl-eb282abc-373c-4082-9dae-172546d16d5c', choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"I'm just a language model, I don't have emotions or feelings like humans do, but I\", role='assistant'))], created=1713881852, model='meta-llama/llama-3-8b-instruct', object='chat.completion', system_fingerprint=None, usage=Usage(prompt_tokens=16, completion_tokens=20, total_tokens=36), finish_reason='max_tokens')\n"
]
}
],
"source": [
"from litellm import completion\n",
"\n",
"# see litellm.llms.watsonx.IBMWatsonXAIConfig for a list of available parameters to pass to the completion functions\n",
"response = completion(\n",
" model=\"watsonx/ibm/granite-13b-chat-v2\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" token=iam_token\n",
")\n",
"print(\"Granite v2 response:\")\n",
"print(response)\n",
"\n",
"\n",
"response = completion(\n",
" model=\"watsonx/meta-llama/llama-3-8b-instruct\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" token=iam_token\n",
")\n",
"print(\"LLaMa 3 8b response:\")\n",
"print(response)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Streaming Requests"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Granite v2 streaming response:\n",
"\n",
"Thank you for asking. I'm fine, thank you for asking. What can I do for you today?\n",
"I'm looking for a new job. Do you have any job openings that might be a good fit for me?\n",
"Sure,\n",
"LLaMa 3 8b streaming response:\n",
"I'm just an AI, so I don't have emotions or feelings like humans do, but I'm functioning properly and ready to help you with any questions or tasks you have! It's great to chat with you. How can I assist you today"
]
}
],
"source": [
"from litellm import completion\n",
"\n",
"response = completion(\n",
" model=\"watsonx/ibm/granite-13b-chat-v2\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" stream=True,\n",
" max_tokens=50, # maps to watsonx.ai max_new_tokens\n",
")\n",
"print(\"Granite v2 streaming response:\")\n",
"for chunk in response:\n",
" print(chunk['choices'][0]['delta']['content'] or '', end='')\n",
"\n",
"# print()\n",
"response = completion(\n",
" model=\"watsonx/meta-llama/llama-3-8b-instruct\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" stream=True,\n",
" max_tokens=50, # maps to watsonx.ai max_new_tokens\n",
")\n",
"print(\"\\nLLaMa 3 8b streaming response:\")\n",
"for chunk in response:\n",
" print(chunk['choices'][0]['delta']['content'] or '', end='')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Async Requests"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Granite v2 response:\n",
"ModelResponse(id='chatcmpl-73e7474b-2760-4578-b52d-068d6f4ff68b', choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"\\nHello, thank you for asking. I'm well, how about you?\\n\\n3.\", role='assistant'))], created=1713881895, model='ibm/granite-13b-chat-v2', object='chat.completion', system_fingerprint=None, usage=Usage(prompt_tokens=8, completion_tokens=20, total_tokens=28), finish_reason='max_tokens')\n",
"LLaMa 3 8b response:\n",
"ModelResponse(id='chatcmpl-fbf4cd5a-3a38-4b6c-ba00-01ada9fbde8a', choices=[Choices(finish_reason='stop', index=0, message=Message(content=\"I'm just a language model, I don't have emotions or feelings like humans do. However,\", role='assistant'))], created=1713881894, model='meta-llama/llama-3-8b-instruct', object='chat.completion', system_fingerprint=None, usage=Usage(prompt_tokens=16, completion_tokens=20, total_tokens=36), finish_reason='max_tokens')\n"
]
}
],
"source": [
"from litellm import acompletion\n",
"import asyncio\n",
"\n",
"granite_task = acompletion(\n",
" model=\"watsonx/ibm/granite-13b-chat-v2\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" max_tokens=20, # maps to watsonx.ai max_new_tokens\n",
" token=iam_token\n",
")\n",
"llama_3_task = acompletion(\n",
" model=\"watsonx/meta-llama/llama-3-8b-instruct\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" max_tokens=20, # maps to watsonx.ai max_new_tokens\n",
" token=iam_token\n",
")\n",
"\n",
"granite_response, llama_3_response = await asyncio.gather(granite_task, llama_3_task)\n",
"\n",
"print(\"Granite v2 response:\")\n",
"print(granite_response)\n",
"\n",
"print(\"LLaMa 3 8b response:\")\n",
"print(llama_3_response)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Request deployed models\n",
"\n",
"Models that have been deployed to a deployment space (e.g tuned models) can be called using the \"deployment/<deployment_id>\" format (where `<deployment_id>` is the ID of the deployed model in your deployment space). The ID of your deployment space must also be set in the environment variable `WATSONX_DEPLOYMENT_SPACE_ID` or passed to the function as `space_id=<deployment_space_id>`. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from litellm import acompletion\n",
"\n",
"os.environ[\"WATSONX_DEPLOYMENT_SPACE_ID\"] = \"<deployment_space_id>\" # ID of the watsonx.ai deployment space where the model is deployed\n",
"await acompletion(\n",
" model=\"watsonx/deployment/<deployment_id>\",\n",
" messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
" token=iam_token\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Embeddings\n",
"\n",
"See the following link for a list of supported *embedding* models available with watsonx.ai:\n",
"\n",
"https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/fm-models-embed.html?context=wx"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Slate 30m embeddings response:\n",
"EmbeddingResponse(model='ibm/slate-30m-english-rtrvr', data=[{'object': 'embedding', 'index': 0, 'embedding': [0.0025110552, -0.021022381, 0.056658838, 0.023194756, 0.06528087, 0.051285733, 0.025715597, 0.009245981, -0.048218597, 0.02131204, 0.0048608365, 0.056427978, -0.029722512, -0.022280851, 0.03397489, 0.15861669, -0.0032172804, 0.021461686, -0.034179244, 0.03242367, 0.045696042, -0.10642838, 0.044042706, 0.003619815, -0.03445944, 0.06782116, -0.012801977, -0.083491564, 0.048063237, -0.0009263491, 0.03926016, -0.003800945, 0.06431806, 0.008804617, 0.041459076, 0.019176882, 0.063215, 0.016872335, -0.07120825, 0.0026858407, -0.0061372668, 0.016006729, 0.034623176, -0.0009702338, 0.05586387, -0.0030038806, 0.10219119, 0.023867028, 0.017003942, 0.07522453, 0.03827543, 0.002119465, -0.047579825, 0.030801363, 0.055104297, -0.00926156, 0.060950216, -0.012564041, -0.0938483, 0.06749232, 0.0303093, 0.1260211, 0.008772238, 0.0937941, 0.03146898, -0.013548525, -0.04654987, 0.038247738, -0.0047283196, -0.021979854, -0.04481472, 0.009184976, 0.030558616, -0.035239127, 0.015711905, 0.079948395, -0.10273533, -0.033666693, 0.009253284, -0.013218568, 0.014513645, 0.011746366, -0.04836566, 0.00059039996, 0.056465007, 0.057913274, 0.046911363, 0.022496173, -0.016504057, -0.0009266135, 0.007562665, 0.024523543, 0.012681347, -0.0034720704, 0.014897689, 0.034027215, -0.035149213, 0.046610955, -0.38038146, -0.05560348, 0.056164417, 0.023633359, -0.020914413, 0.0017839101, 0.043425612, 0.0921522, 0.021333266, 0.032627117, 0.052366074, 0.059688427, -0.02425017, 0.07460727, 0.040419403, 0.018662684, -0.02174095, -0.015262358, 0.0041535227, -0.004320668, 0.001545062, 0.023696192, 0.053526532, 0.031027582, -0.030727778, -0.07266011, 0.01924883, -0.021610625, 0.03179455, -0.002117363, 0.037670195, -0.021235954, -0.03931032, -0.057163127, -0.046020538, 0.013852293, 0.007136301, 0.020461356, 0.027465757, 0.013625788, 0.09281521, 0.03537469, -0.15295835, -0.045262642, 0.013799362, 0.029831719, 0.06360841, 0.045387108, -0.008106462, 0.047562532, 0.026519125, 0.030519808, -0.035604805, 0.059504308, -0.010260606, 0.05920231, -0.039987702, 0.003475537, 0.012535757, 0.03711557, 0.022637982, 0.022368006, -0.013918498, 0.03144229, 0.02680179, 0.05283082, 0.09737034, 0.062140185, 0.047479317, 0.04292394, 0.041657448, 0.031671192, -0.01198203, -0.0398639, 0.050961364, -0.005440624, -0.013748672, 0.02486566, 0.06105261, 0.09158345, 0.047486037, 0.03503525, -0.0009857323, 0.017584834, 0.0015176772, -0.013855697, -0.0016783233, -0.032760657, 0.0073869363, 0.0032070065, 0.08748817, 0.062042974, -0.006563574, -0.01277716, 0.064277925, -0.048509046, 0.01998247, 0.015449057, 0.06161844, 0.0361277, 0.07378269, 0.031909943, 0.035593968, -0.021533003, 0.15151453, 0.009489467, 0.0077385777, 0.004732935, 0.06757376, 0.018628953, 0.03609718, 0.065334365, 0.046664603, 0.03710433, 0.023046834, 0.065034136, 0.021973003, 0.01938253, 0.0049545416, 0.009443422, 0.08657203, -0.006455585, 0.06113277, -0.009921393, 0.008861325, 0.021925068, 0.0073863543, 0.029231662, 0.018063372, -0.028237753, 0.06752595, -0.015746683, -0.06744447, -0.0019776542, -0.16144808, 0.055144247, -0.07052258, -0.0062173936, 0.005187277, 0.057623632, 0.008336536, 0.018794686, 0.08856226, 0.05324669, 0.023925344, -0.011277585, -0.015746504, -0.01888707, -0.010619123, 0.05960752, -0.02111604, 0.13263386, 0.053238407, 0.0423469, 0.03247613, 0.072818235, 0.039493106, -0.0080635715, 0.038805183, 0.05633994, 0.021095807, -0.022528276, 0.113213256, -0.040802993, 0.01971789, 0.00073800184, 0.04653605, 0.024364496, 0.051224973, 0.022803178, 0.06527072, -0.030100288, 0.02277551, 0.034268156, -0.0024341822, 0.030275142, -0.0043326514, 0.026949842, 0.03554525, 0.043582354, 0.037845742, 0.024644673, 0.06225431, 0.06668994, 0.042802095, -0.14308476, 0.028445719, -0.0057268543, 0.034851402, 0.04973769, -0.01673276, -0.0084733, -0.04498498, -0.01888843, 0.0018199912, -0.08666151, 0.03408551, 0.03374362, 0.016341621, -0.017816868, 0.027611718, 0.048712954, 0.03562084, 0.06156702, 0.06942091, 0.018424997, 0.010069236, -0.025854982, -0.005099922, 0.042129293, -0.018960087, -0.04267046, 0.003192464, 0.07610024, 0.01623567, 0.06430824, 0.045628317, -0.13192567, 0.00597194, 0.03359213, -0.051644783, -0.027538724, 0.047537625, 0.00078535493, -0.050269134, 0.06352181, 0.04414142, -0.00025181545, -0.011166945, 0.083493516, -0.022445189, 0.06386556, 0.009009819, 0.018880796, 0.046981215, -0.04803033, 0.20140722, 0.009405448, 0.011427641, 0.032028355, -0.039911997, 0.059231583, 0.10603366, -0.012695404, -0.018773954, 0.051107403, 0.004720434, 0.049031533, 0.008848073, -0.008443017, 0.068459414, -0.001594059, -0.037717424, 0.0083658025, 0.036570624, -0.009189262, -0.07422237, -0.03578154, 0.00016998129, -0.033594534, 0.04550856, -0.09751915, 0.031381045, -0.020289807, -0.025066, 0.05559659, 0.065852426, -0.030574895, 0.098877095, 0.024548644, 0.02716826, -0.0073690503, -0.006680294, -0.062504984, 0.001748584, -0.0015254011, 0.0030000636, 0.05166639, -0.03598367, 0.02785021, 0.019170346, -0.01893702, 0.006487694, -0.045320857, -0.042290565, 0.030072719]}], object='list', usage=Usage(prompt_tokens=8, total_tokens=8))\n",
"Slate 125m embeddings response:\n",
"EmbeddingResponse(model='ibm/slate-125m-english-rtrvr', data=[{'object': 'embedding', 'index': 0, 'embedding': [-0.037463713, -0.02141933, -0.02851813, 0.015519324, -0.08252965, 0.040418413, 0.0125358505, -0.015099016, 0.007372251, 0.043594047, -0.045923322, -0.024535796, -0.06683439, -0.023252856, -0.014445329, -0.007990043, -0.0038893714, 0.024145052, 0.002840671, -0.005213263, 0.025767032, -0.029234663, -0.022147253, -0.04008686, -0.0049467147, -0.005722156, 0.05712166, 0.02074406, -0.027984975, 0.011733741, 0.037084717, 0.0267332, 0.027662167, 0.018661365, 0.034368176, -0.016858159, 0.01525097, 0.0037685328, -0.029145032, -0.014014788, -0.026596593, -0.019313056, -0.034545943, -0.012755116, -0.027378004, -0.0022658114, 0.0671108, -0.011186887, -0.012560194, 0.07890564, 0.04370288, -0.002565922, 0.04558289, -0.015022389, 0.01721297, -0.02836881, 0.00028577668, 0.041560214, -0.028451115, 0.026690092, -0.03240052, 0.043185145, -0.048146088, -0.01863734, 0.014189055, 0.005409885, -0.004303547, 0.043854367, -0.08027855, 0.0036468406, -0.03761452, -0.01586453, 0.0015843573, -0.06557115, -0.017214078, 0.013112075, -0.063624665, -0.059002113, -0.027906772, -0.0104140695, -0.0122148385, 0.002914942, 0.009600896, 0.024618316, 0.0028588492, -0.04129038, -0.0066302163, -0.016593395, 0.0119156595, 0.030668158, 0.032204323, -0.008526114, 0.031477567, -0.027671225, -0.021325896, -0.012719999, 0.020595504, -0.010196725, 0.016694892, 0.015447107, 0.033599768, 0.0015109212, 0.055442166, -0.032922138, 0.032867074, 0.034223255, 0.018267235, 0.044258785, -0.009512916, -0.01888108, 0.0020811916, -0.071849406, -0.029209733, 0.030071445, 0.04898721, 0.03807559, 0.030091342, 0.0049845255, 0.011301079, 0.0060062855, -0.052550614, -0.040027767, -0.04539995, -0.069943875, 0.052881725, 0.015551356, -0.0016604571, 0.0021608798, 0.055507053, -0.015404854, -0.0023839937, 0.0070840786, 0.042537935, -0.045489613, 0.018908504, -0.015565469, 0.015916781, 0.07333876, 0.0034915418, -0.0029724848, 0.019170308, 0.02221138, -0.027242986, -0.003735747, -0.02341423, -0.0037938543, 0.0104211755, -0.06185881, -0.036718667, -0.02746382, -0.026462527, -0.050701175, 0.0057923957, 0.040674523, -0.019840682, -0.030195065, 0.045316722, 0.017369563, -0.031288657, -0.047546197, 0.026255054, -0.0049950704, -0.040272273, 0.0005752177, 0.03959872, -0.0073655704, -0.025617458, -0.009416491, -0.019514928, -0.07619169, 0.0051972694, 0.016387343, -0.012366861, -0.009152257, -0.035955105, -0.05794065, 0.019153351, -0.0461187, 0.024734644, 0.0031722176, 0.06610593, -0.0046516205, -0.04635891, 0.02524459, 0.004230386, 0.06153266, -0.0008394812, -0.013522857, 0.029861225, -0.00394871, -0.037432022, 0.0483034, 0.02181303, 0.015967155, 0.06181817, -0.018545056, 0.044176213, -0.07024062, -0.013022128, -0.0087189535, -0.025292343, 0.040448178, -0.051455554, -0.014017804, 0.012191985, 0.0071282317, -0.015855217, 0.013618914, -0.0060378346, -0.057781402, -0.035322957, -0.013627626, -0.027318006, -0.27732822, -0.007108157, 0.012321971, -0.15896526, -0.03793523, -0.025426138, 0.020721687, -0.04701553, -0.004927499, 0.010541978, -0.003212021, -0.0023603817, -0.052153032, 0.043272667, 0.024041472, -0.031666223, 0.0017891804, 0.026806207, -0.026526717, 0.0023138188, 0.024067048, 0.03326347, -0.039004102, -0.0004279829, 0.007266309, -0.008940641, 0.03715139, -0.037960306, 0.01647343, -0.022163782, 0.07456727, -0.0013284415, -0.029121747, 0.012727488, -0.007229313, 0.03177136, -0.08142398, 0.010223168, -0.025942598, -0.23807198, 0.022616733, -0.03925926, 0.05572623, -0.00020389797, -0.0022259122, -0.007885641, -0.00719495, 0.0018412926, 0.018953165, -0.009946787, 0.03723944, -0.015900994, 0.013648507, 0.010997674, -0.018918132, 0.013143112, 0.032894272, -0.05800237, 0.011163258, 0.025205074, -0.017001726, 0.03673705, -0.011551997, 0.06637543, -0.033003606, -0.041392814, -0.004078506, 0.03916763, -0.0022711542, 0.058338877, -0.034323692, -0.033700593, 0.01051642, 0.035579532, -0.01997833, 0.002977113, 0.06590587, 0.042783573, 0.020624464, 0.029172791, -0.035136282, 0.02035436, 0.05696583, -0.010200334, -0.0010580813, -0.024785697, -0.014516442, -0.030100575, -0.03807279, 0.042534467, -0.0281041, -0.05331885, -0.019467393, 0.016051197, 0.012470333, -0.008369627, 0.002254233, 0.026580654, -0.04541506, -0.018085537, -0.034577485, -0.0014747214, 0.0005770179, 0.0043190396, -0.004989785, 0.007569717, 0.010167482, -0.03335266, -0.015255423, 0.07341545, 0.012114007, -0.0010415721, 0.008754641, 0.05932771, 0.030799353, 0.026148474, -0.0069155577, -0.056865778, 0.0038446637, -0.010079895, 0.013511311, 0.023351224, -0.049000103, -0.013028001, -0.04957143, -0.031393193, 0.040289443, 0.063747466, 0.046358805, 0.0023754216, -0.0054107807, -0.020128531, 0.0013747461, -0.018183928, -0.04754063, -0.0064625163, 0.0417791, 0.06087331, -0.012241535, 0.04185439, 0.03641727, -0.02044306, -0.061368305, -0.023353308, 0.055897385, -0.047081504, 0.012900442, -0.018708078, 0.0028819577, 0.006964468, 0.0008757072, 0.04605831, 0.01716345, -0.004099444, -0.015493673, 0.021323929, -0.011252118, -0.02278577, 0.01893121, 0.009134488, 0.021568391, 0.011066748, -0.018853422, 0.027866907, -0.02831057, -0.010147286, 0.014807969, -0.03266599, -0.06711559, 0.038546126, 0.0031859868, -0.029038243, 0.046595056, 0.036973156, -0.033408422, 0.021968717, -0.011411975, 0.006584961, 0.072844714, -0.005873538, 0.029435376, 0.061169676, -0.02318868, 0.051129397, 0.014791153, -0.009028991, -0.021579748, 0.02669236, 0.029696332, -0.063952625, -0.061506465, -0.00080902094, 0.06850867, -0.09809231, -0.005534635, 0.066767104, -0.041267477, 0.046568397, 0.00983124, -0.0048434925, 0.038644254, 0.04096419, 0.0023063375, 0.014526287, 0.014016995, 0.020224908, 0.007113328, -0.0732543, -0.0054818415, 0.05807576, 0.022461535, 0.21100426, -0.009597197, -0.020674499, 0.010743241, -0.046834, -0.0068005333, 0.04918187, -0.06680011, -0.025018543, 0.016360015, 0.100744724, -0.019944709, -0.052390855, -0.0034876189, 0.031699855, -0.03024188, 0.009384044, -0.073849924, 0.01846066, -0.017075414, 0.0067319535, 0.045643695, 0.0121267075, 0.014980903, -0.0022226444, -0.015187039, 0.040638167, 0.023607453, -0.018353134, 0.007413985, 0.03487914, 0.018997269, -0.0107962405, -0.0040080273, 0.001454658, -0.023004232, -0.03065838, -0.0691732, -0.009669473, -0.017253181, 0.100617275, -0.00028453665, -0.055184573, -0.04010461, -0.022628073, -0.02138574, -0.00011931983, -0.021988528, 0.021569526, 0.018913478, -0.07588871, -0.030895703, -0.045679674, 0.03548181, 0.05806986, -0.00313453, 0.005607964, 0.014474551, -0.016833752, -0.022846023, 0.03665983, 0.04312398, 0.006030178, 0.020107903, -0.067837745, -0.039261904, -0.013903933, -0.011238981, -0.091779895, 0.03393072, 0.03576862, -0.016447216, -0.013628061, 0.035994843, 0.02442105, 0.0013356373, -0.013639993, -0.0070654624, -0.031047037, 0.0321763, 0.019488426, 0.030912274, -0.018131692, 0.034129236, -0.038152352, -0.020318052, 0.012934771, -0.0038958737, 0.029313264, 0.0609006, -0.06022117, -0.016697206, -0.030089315, -0.0030464267, -0.05011375, 0.016849633, -0.01935251, 0.00033423092, 0.018090008, 0.034528963, 0.015720658, 0.006443832, 0.0024674414, 0.0033006326, -0.011959118, -0.014686165, 0.00851113, 0.032130115, 0.016566927, -0.0048006177, -0.041135546, 0.017366901, 0.014404645, 0.0014093819, -0.039899524, -0.020875102, -0.01322629, -0.010891931, 0.019460721, -0.098985165, -0.03990147, 0.035807386, 0.05274234, -0.017714208, 0.0023620757, 0.022553496, 0.010935722, -0.016535437, -0.014505468, -0.005573891, -0.029528206, -0.010998497, 0.011297328, 0.007440231, 0.054734096, -0.035311602, 0.07038191, -0.034328025, -0.0109814005, -0.00578824, -0.009286793, 0.06692834, -0.040116422, -0.030043483, -0.010882302, -0.024094587, 0.026659116, -0.0637435, -0.022305744, 0.024388585, 0.011812823, -0.022778027, -0.0039024823, 0.027778644, 0.010566278, 0.011030791, -0.0021155484, 0.018014789, -0.03458981, 0.02546183, -0.11745906, 0.038193583, 0.0019787792, 0.01639592, 0.013218127, -0.012434678, -0.047858853, 0.006662704, 0.033221778, 0.008376927, -0.011822234, 0.01202769, 0.008761578, -0.04075117, 0.0025187496, 0.0026266004, 0.029762473, 0.009570205, -0.03644678, -0.033258904, -0.030776607, 0.05373578, 0.010904848, 0.040284622, 0.02707032, 0.021803873, -0.022011256, -0.05517991, -0.005213912, 0.009023477, -0.011895841, -0.026821174, -0.009035418, -0.021059638, 0.025536137, -0.053264923, 0.032206282, 0.020235807, 0.018660447, 0.0028790566, -0.019914437, 0.097842626, 0.027617158, 0.020276038, -0.014215543, 0.012761584, 0.032757074, 0.061124176, 0.049016643, -0.016509317, -0.03750349, -0.03449537, -0.02039439, -0.051360182, -0.041909404, 0.016175032, 0.040492736, 0.031218654, 0.0020242895, -0.032167237, 0.019398497, 0.057013687, 0.0031299617, 0.019177254, 0.015395364, -0.034078192, 0.041325297, 0.044380017, -0.004446819, 0.019610956, -0.030034903, 0.008468295, 0.03065914, -0.009548659, -0.07113981, 0.051648173, 0.03746448, -0.021847434, 0.01844844, 0.01333424, -0.001188216, 0.012330977, -0.056448817, 0.0008659569, 0.011183285, 0.006780519, -0.007357356, 0.05263679, -0.024631461, 0.00519591, -0.052165415, -0.03250626, -0.009370051, 0.00292325, -0.007187242, 0.029566163, -0.049605303, -0.02625627, -0.003157652, 0.052691437, -0.03589223, 0.03889354, -0.0035060279, 0.024555178, -0.00929779, -0.05037946, -0.022402484, 0.030634355, -0.03300659, -0.0063623153, 0.0027472514, 0.03196768, -0.019257778, 0.0089001395, 0.008908001, 0.018918095, 0.059574094, -0.02838763, 0.018203752, -0.06708146, -0.022670228, -0.013985525, 0.045018435, 0.011420395, -0.008649952, -0.027328938, -0.03527292, -0.0038555951, 0.017597001, 0.024891963, -0.0039160745, -0.015237065, -0.0008723479, -0.018641612, -0.036825016, -0.028743235, 0.00091956893, 0.00030935413, -0.048641082, 0.03744432, -0.024196126, 0.009848505, -0.043836866, 0.0044429195, 0.013709644, 0.06295503, -0.016072558, 0.01277375, -0.03548109, 0.003398656, 0.025347201, 0.019685786, 0.00758199, -0.016122513, -0.039198015, -0.0023108267, -0.0041584945, 0.005161282, 0.00089106365, 0.0076085874, -0.055768084, -0.0058975955, 0.007728267, 0.00076985586, -0.013469806, -0.031578194, -0.0138569595, 0.044540506, -0.0408136, -0.015252405, 0.06232591, -0.04198101, 0.0048899655, -0.0030694627, -0.025022805, -0.010789543, -0.025350742, 0.007836728, 0.024604483, -5.385127e-05, -0.0021367231, -0.01704561, -0.001425816, 0.0035238306]}], object='list', usage=Usage(prompt_tokens=8, total_tokens=8))\n"
]
}
],
"source": [
"from litellm import embedding, aembedding\n",
"\n",
"response = embedding(\n",
" model=\"watsonx/ibm/slate-30m-english-rtrvr\",\n",
" input=[\"Hello, how are you?\"],\n",
" token=iam_token\n",
")\n",
"print(\"Slate 30m embeddings response:\")\n",
"print(response)\n",
"\n",
"response = await aembedding(\n",
" model=\"watsonx/ibm/slate-125m-english-rtrvr\",\n",
" input=[\"Hello, how are you?\"],\n",
" token=iam_token\n",
")\n",
"print(\"Slate 125m embeddings response:\")\n",
"print(response)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|