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"id": "K4AvfUAJZOeS"
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"id": "K4AvfUAJZOeS"
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},
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},
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"source": [
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"source": [
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"### 1.1. Create TogetherAI account\n",
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"### 1.1. Get API Key from Cloud Provider. \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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"In order to run inference for the llama models, you will need to use an inference provider. Llama stack supports a number of inference [providers](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/inference).\n",
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"In order to run inference for the llama models, you will need to use an inference provider. Llama stack supports a number of inference [providers](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/inference).\n",
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"\n",
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"\n",
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"Steps [here](https://docs.google.com/document/d/1Vg998IjRW_uujAPnHdQ9jQWvtmkZFt74FldW2MblxPY/edit?usp=sharing).\n",
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"Steps [here](https://docs.google.com/document/d/1Vg998IjRW_uujAPnHdQ9jQWvtmkZFt74FldW2MblxPY/edit?usp=sharing).\n",
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"\n",
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"\n",
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"You can also use Fireworks.ai or even Ollama if you would like to.\n",
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"You can also use Fireworks.ai, Bedrock, Cerebras, Nvidia, Sambanova or even Ollama if you would like to.\n",
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},
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"collapsed": true,
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"collapsed": true,
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"id": "J2kGed0R5PSf",
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"id": "J2kGed0R5PSf",
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"jupyter": {
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"outputs_hidden": true
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"outputId": "2478ea60-8d35-48a1-b011-f233831740c5"
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"outputId": "2478ea60-8d35-48a1-b011-f233831740c5"
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"outputs": [
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{
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{
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"cell_type": "markdown",
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"cell_type": "markdown",
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"id": "414301dc",
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"id": "5b5c4486-4602-4f08-8914-e66770d62461",
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"metadata": {
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"metadata": {
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"id": "414301dc"
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"id": "414301dc"
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},
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"source": [
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"source": [
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"### 1.3. Configure Llama Stack for Together\n",
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"### 1.3. Configure Llama Stack for the provider\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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"Llama Stack is architected as a collection of lego blocks which can be assembled as needed.\n",
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"Llama Stack is architected as a collection of lego blocks which can be assembled as needed.\n",
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},
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"id": "HaepEZXCDgif",
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"id": "HaepEZXCDgif",
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"metadata": {
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"metadata": {
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"colab": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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"base_uri": "https://localhost:8080/"
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},
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"collapsed": true,
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"id": "HaepEZXCDgif",
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"id": "HaepEZXCDgif",
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"outputId": "9314f698-593d-4c1a-ea15-15c735dc1023"
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"outputId": "9314f698-593d-4c1a-ea15-15c735dc1023"
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"outputs": [
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"text": [
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"Requirement already satisfied: llama-stack in /usr/local/lib/python3.11/dist-packages (0.1.0rc10)\r\n",
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"\u001b[?25hInstalling collected packages: monotonic, chevron, xxhash, uvicorn, redis, rapidfuzz, pypdf, psycopg2-binary, protobuf, pillow, overrides, httpx-sse, fsspec, faiss-cpu, dill, braintrust_core, backoff, anyio, aiosqlite, starlette, posthog, opentelemetry-proto, multiprocess, levenshtein, sse-starlette, pydantic-settings, opentelemetry-exporter-otlp-proto-common, fastapi, together, mcp, datasets, autoevals, opentelemetry-exporter-otlp-proto-http, opentelemetry-exporter-otlp-proto-grpc, chromadb-client\n",
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"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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"\u001b[0mSuccessfully installed aiosqlite-0.20.0 anyio-4.8.0 autoevals-0.0.117 backoff-2.2.1 braintrust_core-0.0.58 chevron-0.14.0 chromadb-client-0.6.3 datasets-3.2.0 dill-0.3.8 faiss-cpu-1.9.0.post1 fastapi-0.115.6 fsspec-2024.9.0 httpx-sse-0.4.0 levenshtein-0.26.1 mcp-1.2.0 monotonic-1.6 multiprocess-0.70.16 opentelemetry-exporter-otlp-proto-common-1.29.0 opentelemetry-exporter-otlp-proto-grpc-1.29.0 opentelemetry-exporter-otlp-proto-http-1.29.0 opentelemetry-proto-1.29.0 overrides-7.7.0 pillow-10.4.0 posthog-3.8.4 protobuf-5.29.3 psycopg2-binary-2.9.10 pydantic-settings-2.7.1 pypdf-5.1.0 rapidfuzz-3.11.0 redis-5.2.1 sse-starlette-2.2.1 starlette-0.41.3 together-1.3.11 uvicorn-0.34.0 xxhash-3.5.0\n",
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"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2->torch) (3.0.2)\n",
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"\u001b[32mBuild Successful!\u001b[0m\n"
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}
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||||||
],
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||||||
"source": [
|
"source": [
|
||||||
"# NBVAL_SKIP\n",
|
"# NBVAL_SKIP\n",
|
||||||
"\n",
|
"# Choose the provider from our list of supported provider ['bedrock','together','fireworks','cerebras','hf-endpoint','nvidia','sambanova']\n",
|
||||||
|
"PROVIDER = 'together'\n",
|
||||||
"# This will build all the dependencies you will need\n",
|
"# This will build all the dependencies you will need\n",
|
||||||
"!llama stack build --template together --image-type venv"
|
"llama stack build --template PROVIDER --image-type venv"
|
||||||
]
|
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|
||||||
},
|
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|
||||||
{
|
{
|
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|
||||||
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|
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|
||||||
"### 1.4. Initialize Llama Stack\n",
|
"### 1.4. Initialize Llama Stack\n",
|
||||||
"\n",
|
"\n",
|
||||||
"Now that all dependencies have been installed, we can initialize llama stack. We will first set the `TOGETHER_API_KEY` environment variable\n"
|
"Now that all dependencies have been installed, we can initialize llama stack. We will first set the search api key as `TAVILY_SEARCH_API_KEY` environment variable\n"
|
||||||
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|
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|
||||||
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|
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|
||||||
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||||||
"52fe404ec9c14db2a7279b4c154eef3d"
|
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|
||||||
]
|
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|
||||||
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|
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|
||||||
"collapsed": true,
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|
||||||
"id": "E1UFuJC570Tk",
|
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|
||||||
"outputId": "aebb69d4-c167-4de5-eb8a-dd19dd538f63"
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|
||||||
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||||||
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|
||||||
"output_type": "stream",
|
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|
||||||
"text": [
|
"text": [
|
||||||
"Not in Google Colab environment\n",
|
"Not in Google Colab environment\n",
|
||||||
"\u001b[33mWarning: `bwrap` is not available. Code interpreter tool will not work correctly.\u001b[0m\n"
|
"Asking user to manually type keys now\n"
|
||||||
]
|
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|
||||||
},
|
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|
||||||
{
|
{
|
||||||
"name": "stderr",
|
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|
||||||
"output_type": "stream",
|
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|
||||||
"text": [
|
"text": [
|
||||||
"/Users/ashwin/homebrew/Caskroom/miniconda/base/envs/toolchain/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
|
"Cloud provider API key here: ········\n",
|
||||||
" from .autonotebook import tqdm as notebook_tqdm\n"
|
"Tavily API key here: ········\n"
|
||||||
|
]
|
||||||
|
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|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Starting llama-stack client using provider: together\n",
|
||||||
|
"\u001b[33mWarning: `bwrap` is not available. Code interpreter tool will not work correctly.\u001b[0m\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|
@ -753,7 +442,7 @@
|
||||||
"eval_tasks: <span style=\"font-weight: bold\">[]</span>\n",
|
"eval_tasks: <span style=\"font-weight: bold\">[]</span>\n",
|
||||||
"image_name: together\n",
|
"image_name: together\n",
|
||||||
"metadata_store:\n",
|
"metadata_store:\n",
|
||||||
" db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/ashwin/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">registry.db</span>\n",
|
" db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/kaiwu/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">registry.db</span>\n",
|
||||||
" namespace: null\n",
|
" namespace: null\n",
|
||||||
" type: sqlite\n",
|
" type: sqlite\n",
|
||||||
"models:\n",
|
"models:\n",
|
||||||
|
|
@ -822,7 +511,7 @@
|
||||||
" agents:\n",
|
" agents:\n",
|
||||||
" - config:\n",
|
" - config:\n",
|
||||||
" persistence_store:\n",
|
" persistence_store:\n",
|
||||||
" db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/ashwin/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">agents_store.db</span>\n",
|
" db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/kaiwu/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">agents_store.db</span>\n",
|
||||||
" namespace: null\n",
|
" namespace: null\n",
|
||||||
" type: sqlite\n",
|
" type: sqlite\n",
|
||||||
" provider_id: meta-reference\n",
|
" provider_id: meta-reference\n",
|
||||||
|
|
@ -866,7 +555,7 @@
|
||||||
" - config:\n",
|
" - config:\n",
|
||||||
" service_name: llama-stack\n",
|
" service_name: llama-stack\n",
|
||||||
" sinks: sqlite\n",
|
" sinks: sqlite\n",
|
||||||
" sqlite_db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/ashwin/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">trace_store.db</span>\n",
|
" sqlite_db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/kaiwu/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">trace_store.db</span>\n",
|
||||||
" provider_id: meta-reference\n",
|
" provider_id: meta-reference\n",
|
||||||
" provider_type: inline::meta-reference\n",
|
" provider_type: inline::meta-reference\n",
|
||||||
" tool_runtime:\n",
|
" tool_runtime:\n",
|
||||||
|
|
@ -892,7 +581,7 @@
|
||||||
" vector_io:\n",
|
" vector_io:\n",
|
||||||
" - config:\n",
|
" - config:\n",
|
||||||
" kvstore:\n",
|
" kvstore:\n",
|
||||||
" db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/ashwin/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">faiss_store.db</span>\n",
|
" db_path: <span style=\"color: #800080; text-decoration-color: #800080\">/Users/kaiwu/.llama/distributions/together/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">faiss_store.db</span>\n",
|
||||||
" namespace: null\n",
|
" namespace: null\n",
|
||||||
" type: sqlite\n",
|
" type: sqlite\n",
|
||||||
" provider_id: faiss\n",
|
" provider_id: faiss\n",
|
||||||
|
|
@ -937,7 +626,7 @@
|
||||||
"eval_tasks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
|
"eval_tasks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
|
||||||
"image_name: together\n",
|
"image_name: together\n",
|
||||||
"metadata_store:\n",
|
"metadata_store:\n",
|
||||||
" db_path: \u001b[35m/Users/ashwin/.llama/distributions/together/\u001b[0m\u001b[95mregistry.db\u001b[0m\n",
|
" db_path: \u001b[35m/Users/kaiwu/.llama/distributions/together/\u001b[0m\u001b[95mregistry.db\u001b[0m\n",
|
||||||
" namespace: null\n",
|
" namespace: null\n",
|
||||||
" type: sqlite\n",
|
" type: sqlite\n",
|
||||||
"models:\n",
|
"models:\n",
|
||||||
|
|
@ -1006,7 +695,7 @@
|
||||||
" agents:\n",
|
" agents:\n",
|
||||||
" - config:\n",
|
" - config:\n",
|
||||||
" persistence_store:\n",
|
" persistence_store:\n",
|
||||||
" db_path: \u001b[35m/Users/ashwin/.llama/distributions/together/\u001b[0m\u001b[95magents_store.db\u001b[0m\n",
|
" db_path: \u001b[35m/Users/kaiwu/.llama/distributions/together/\u001b[0m\u001b[95magents_store.db\u001b[0m\n",
|
||||||
" namespace: null\n",
|
" namespace: null\n",
|
||||||
" type: sqlite\n",
|
" type: sqlite\n",
|
||||||
" provider_id: meta-reference\n",
|
" provider_id: meta-reference\n",
|
||||||
|
|
@ -1050,7 +739,7 @@
|
||||||
" - config:\n",
|
" - config:\n",
|
||||||
" service_name: llama-stack\n",
|
" service_name: llama-stack\n",
|
||||||
" sinks: sqlite\n",
|
" sinks: sqlite\n",
|
||||||
" sqlite_db_path: \u001b[35m/Users/ashwin/.llama/distributions/together/\u001b[0m\u001b[95mtrace_store.db\u001b[0m\n",
|
" sqlite_db_path: \u001b[35m/Users/kaiwu/.llama/distributions/together/\u001b[0m\u001b[95mtrace_store.db\u001b[0m\n",
|
||||||
" provider_id: meta-reference\n",
|
" provider_id: meta-reference\n",
|
||||||
" provider_type: inline::meta-reference\n",
|
" provider_type: inline::meta-reference\n",
|
||||||
" tool_runtime:\n",
|
" tool_runtime:\n",
|
||||||
|
|
@ -1076,7 +765,7 @@
|
||||||
" vector_io:\n",
|
" vector_io:\n",
|
||||||
" - config:\n",
|
" - config:\n",
|
||||||
" kvstore:\n",
|
" kvstore:\n",
|
||||||
" db_path: \u001b[35m/Users/ashwin/.llama/distributions/together/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n",
|
" db_path: \u001b[35m/Users/kaiwu/.llama/distributions/together/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n",
|
||||||
" namespace: null\n",
|
" namespace: null\n",
|
||||||
" type: sqlite\n",
|
" type: sqlite\n",
|
||||||
" provider_id: faiss\n",
|
" provider_id: faiss\n",
|
||||||
|
|
@ -1111,15 +800,26 @@
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"import os\n",
|
"import os\n",
|
||||||
|
"from getpass import getpass\n",
|
||||||
|
"def get_api_string(provider):\n",
|
||||||
|
" assert(provider in ['bedrock','together','fireworks','cerebras','hf-endpoint','nvidia','sambanova'])\n",
|
||||||
|
" if PROVIDER == \"hf-endpoint\":\n",
|
||||||
|
" return 'HF_API_TOKEN'\n",
|
||||||
|
" else:\n",
|
||||||
|
" return provider.upper()+ '_API_KEY'\n",
|
||||||
"\n",
|
"\n",
|
||||||
"try:\n",
|
"try:\n",
|
||||||
" from google.colab import userdata\n",
|
" from google.colab import userdata\n",
|
||||||
" os.environ['TOGETHER_API_KEY'] = userdata.get('TOGETHER_API_KEY')\n",
|
" os.environ[get_api_string(PROVIDER)] = userdata.get('API_KEY')\n",
|
||||||
" os.environ['TAVILY_SEARCH_API_KEY'] = userdata.get('TAVILY_SEARCH_API_KEY')\n",
|
" os.environ['TAVILY_SEARCH_API_KEY'] = userdata.get('TAVILY_SEARCH_API_KEY')\n",
|
||||||
"except ImportError:\n",
|
"except ImportError:\n",
|
||||||
" print(\"Not in Google Colab environment\")\n",
|
" print(\"Not in Google Colab environment\")\n",
|
||||||
|
" print('Asking user to manually type keys now')\n",
|
||||||
|
" os.environ[get_api_string(PROVIDER)] = getpass(\"Cloud provider API key here: \")\n",
|
||||||
|
" os.environ['TAVILY_SEARCH_API_KEY'] = getpass(\"Tavily API key here: \")\n",
|
||||||
"\n",
|
"\n",
|
||||||
"for key in ['TOGETHER_API_KEY', 'TAVILY_SEARCH_API_KEY']:\n",
|
"# Double check on the API keys\n",
|
||||||
|
"for key in [get_api_string(PROVIDER), 'TAVILY_SEARCH_API_KEY']:\n",
|
||||||
" try:\n",
|
" try:\n",
|
||||||
" api_key = os.environ[key]\n",
|
" api_key = os.environ[key]\n",
|
||||||
" if not api_key:\n",
|
" if not api_key:\n",
|
||||||
|
|
@ -1132,7 +832,8 @@
|
||||||
" ) from None\n",
|
" ) from None\n",
|
||||||
"\n",
|
"\n",
|
||||||
"from llama_stack.distribution.library_client import LlamaStackAsLibraryClient\n",
|
"from llama_stack.distribution.library_client import LlamaStackAsLibraryClient\n",
|
||||||
"client = LlamaStackAsLibraryClient(\"together\", provider_data = {\"tavily_search_api_key\": os.environ['TAVILY_SEARCH_API_KEY']})\n",
|
"print('Starting llama-stack client using provider:', PROVIDER)\n",
|
||||||
|
"client = LlamaStackAsLibraryClient(PROVIDER, provider_data = {\"tavily_search_api_key\": os.environ['TAVILY_SEARCH_API_KEY']})\n",
|
||||||
"_ = client.initialize()"
|
"_ = client.initialize()"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
|
@ -1156,7 +857,6 @@
|
||||||
"colab": {
|
"colab": {
|
||||||
"base_uri": "https://localhost:8080/"
|
"base_uri": "https://localhost:8080/"
|
||||||
},
|
},
|
||||||
"collapsed": true,
|
|
||||||
"id": "ruO9jQna_t_S",
|
"id": "ruO9jQna_t_S",
|
||||||
"outputId": "ab1722a7-62ab-43bb-9cab-4e45bf62068a"
|
"outputId": "ab1722a7-62ab-43bb-9cab-4e45bf62068a"
|
||||||
},
|
},
|
||||||
|
|
@ -2162,6 +1862,9 @@
|
||||||
},
|
},
|
||||||
"collapsed": true,
|
"collapsed": true,
|
||||||
"id": "GvVRuhO-GOov",
|
"id": "GvVRuhO-GOov",
|
||||||
|
"jupyter": {
|
||||||
|
"outputs_hidden": true
|
||||||
|
},
|
||||||
"outputId": "39395e26-bb7d-4616-d51d-036c8bf41427"
|
"outputId": "39395e26-bb7d-4616-d51d-036c8bf41427"
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
|
@ -2391,7 +2094,8 @@
|
||||||
"Requirement already satisfied: ptyprocess~=0.7.0 in /usr/local/lib/python3.11/dist-packages (from colab-xterm) (0.7.0)\n",
|
"Requirement already satisfied: ptyprocess~=0.7.0 in /usr/local/lib/python3.11/dist-packages (from colab-xterm) (0.7.0)\n",
|
||||||
"Requirement already satisfied: tornado>5.1 in /usr/local/lib/python3.11/dist-packages (from colab-xterm) (6.3.3)\n",
|
"Requirement already satisfied: tornado>5.1 in /usr/local/lib/python3.11/dist-packages (from colab-xterm) (6.3.3)\n",
|
||||||
"Downloading colab_xterm-0.2.0-py3-none-any.whl (115 kB)\n",
|
"Downloading colab_xterm-0.2.0-py3-none-any.whl (115 kB)\n",
|
||||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/115.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.6/115.6 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/115.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\n",
|
||||||
|
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.6/115.6 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||||
"\u001b[?25hInstalling collected packages: colab-xterm\n",
|
"\u001b[?25hInstalling collected packages: colab-xterm\n",
|
||||||
"Successfully installed colab-xterm-0.2.0\n"
|
"Successfully installed colab-xterm-0.2.0\n"
|
||||||
]
|
]
|
||||||
|
|
@ -2764,7 +2468,19 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"application/javascript": "\n (async () => {\n const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n const iframe = document.createElement('iframe');\n iframe.src = url;\n iframe.setAttribute('width', '100%');\n iframe.setAttribute('height', '800');\n iframe.setAttribute('frameborder', 0);\n document.body.appendChild(iframe);\n })();\n ",
|
"application/javascript": [
|
||||||
|
"\n",
|
||||||
|
" (async () => {\n",
|
||||||
|
" const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n",
|
||||||
|
" const iframe = document.createElement('iframe');\n",
|
||||||
|
" iframe.src = url;\n",
|
||||||
|
" iframe.setAttribute('width', '100%');\n",
|
||||||
|
" iframe.setAttribute('height', '800');\n",
|
||||||
|
" iframe.setAttribute('frameborder', 0);\n",
|
||||||
|
" document.body.appendChild(iframe);\n",
|
||||||
|
" })();\n",
|
||||||
|
" "
|
||||||
|
],
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<IPython.core.display.Javascript object>"
|
"<IPython.core.display.Javascript object>"
|
||||||
]
|
]
|
||||||
|
|
@ -3523,7 +3239,7 @@
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"# NBVAL_SKIP \n",
|
"# NBVAL_SKIP\n",
|
||||||
"print(f\"Getting traces for session_id={session_id}\")\n",
|
"print(f\"Getting traces for session_id={session_id}\")\n",
|
||||||
"import json\n",
|
"import json\n",
|
||||||
"\n",
|
"\n",
|
||||||
|
|
@ -3830,7 +3546,8 @@
|
||||||
"provenance": []
|
"provenance": []
|
||||||
},
|
},
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"display_name": "Python 3",
|
"display_name": "Python 3 (ipykernel)",
|
||||||
|
"language": "python",
|
||||||
"name": "python3"
|
"name": "python3"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
|
|
@ -3843,7 +3560,7 @@
|
||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.10.15"
|
"version": "3.10.16"
|
||||||
},
|
},
|
||||||
"widgets": {
|
"widgets": {
|
||||||
"application/vnd.jupyter.widget-state+json": {
|
"application/vnd.jupyter.widget-state+json": {
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue