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chore(closes OPEN-10366): update Jupyter notebook examples with init-… #656

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Merged
gustavocidornelas merged 1 commit into from
Jul 8, 2026
Merged

chore(closes OPEN-10366): update Jupyter notebook examples with init-… #656

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6 changes: 4 additions & 2 deletions examples/tracing/anthropic/anthropic_tracing.ipynb
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Expand Up @@ -65,9 +65,11 @@
"metadata": {},
"outputs": [],
"source": [
"from openlayer.lib import trace_anthropic\n",
"from openlayer.lib import init\n",
"\n",
"anthropic_client = trace_anthropic(anthropic.Anthropic())"
"init()\n",
"\n",
"anthropic_client = anthropic.Anthropic() # auto-traced by Openlayer"
]
},
{
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18 changes: 8 additions & 10 deletions examples/tracing/azure-content-understanding/azure_content_understanding_tracing.ipynb
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Expand Up @@ -68,20 +68,18 @@
"from azure.ai.contentunderstanding import ContentUnderstandingClient\n",
"from azure.ai.contentunderstanding.models import AnalysisInput\n",
"\n",
"from openlayer.lib import configure, trace_azure_content_understanding\n",
"from openlayer.lib import init\n",
"\n",
"# Configure if you want to upload documents to Openlayer storage\n",
"configure(\n",
"# Set attachment options if you want to upload documents to Openlayer storage\n",
"init(\n",
" attachment_upload_enabled=True, # upload binary/file attachments\n",
" url_upload_enabled=True, # also download & re-upload external URLs\n",
")\n",
"\n",
"client = trace_azure_content_understanding(\n",
" ContentUnderstandingClient(\n",
" endpoint=os.environ.get(\"AZURE_CONTENT_UNDERSTANDING_ENDPOINT\"),\n",
" credential=AzureKeyCredential(os.environ.get(\"AZURE_CONTENT_UNDERSTANDING_KEY\")),\n",
" api_version=\"2025-11-01\",\n",
" )\n",
"client = ContentUnderstandingClient( # auto-traced by Openlayer\n",
" endpoint=os.environ.get(\"AZURE_CONTENT_UNDERSTANDING_ENDPOINT\"),\n",
" credential=AzureKeyCredential(os.environ.get(\"AZURE_CONTENT_UNDERSTANDING_KEY\")),\n",
" api_version=\"2025-11-01\",\n",
")"
]
},
Expand Down Expand Up @@ -148,4 +146,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}
14 changes: 7 additions & 7 deletions examples/tracing/azure-openai/azure_openai_tracing.ipynb
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Expand Up @@ -67,14 +67,14 @@
"source": [
"from openai import AzureOpenAI\n",
"\n",
"from openlayer.lib import trace_openai\n",
"from openlayer.lib import init\n",
"\n",
"azure_client = trace_openai(\n",
" AzureOpenAI(\n",
" api_key=os.environ.get(\"AZURE_OPENAI_API_KEY\"),\n",
" api_version=\"2024-02-01\",\n",
" azure_endpoint=os.environ.get(\"AZURE_OPENAI_ENDPOINT\"),\n",
" )\n",
"init()\n",
"\n",
"azure_client = AzureOpenAI( # auto-traced by Openlayer\n",
" api_key=os.environ.get(\"AZURE_OPENAI_API_KEY\"),\n",
" api_version=\"2024-02-01\",\n",
" azure_endpoint=os.environ.get(\"AZURE_OPENAI_ENDPOINT\"),\n",
")"
]
},
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6 changes: 3 additions & 3 deletions examples/tracing/google-adk/google_adk_tracing.ipynb
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Expand Up @@ -83,10 +83,10 @@
"metadata": {},
"outputs": [],
"source": [
"from openlayer.lib.integrations import trace_google_adk\n",
"from openlayer.lib import init\n",
"\n",
"# Enable tracing (must be called before creating agents)\n",
"trace_google_adk()"
"# Auto-instrument the installed LLM SDKs (must be called before creating agents)\n",
"init()"
]
},
{
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7 changes: 4 additions & 3 deletions examples/tracing/google-gemini/gemini_tracing.ipynb
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Expand Up @@ -65,12 +65,13 @@
"metadata": {},
"outputs": [],
"source": [
"from openlayer.lib import trace_gemini\n",
"from openlayer.lib import init\n",
"\n",
"genai.configure(api_key=os.environ[\"GOOGLE_AI_API_KEY\"])\n",
"\n",
"model = genai.GenerativeModel(\"gemini-2.5-flash\")\n",
"traced_model = trace_gemini(model)"
"init()\n",
"\n",
"model = genai.GenerativeModel(\"gemini-2.5-flash\") # auto-traced by Openlayer"
]
},
{
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6 changes: 4 additions & 2 deletions examples/tracing/groq/groq_tracing.ipynb
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Expand Up @@ -65,9 +65,11 @@
"source": [
"import groq\n",
"\n",
"from openlayer.lib import trace_groq\n",
"from openlayer.lib import init\n",
"\n",
"groq_client = trace_groq(groq.Groq())"
"init()\n",
"\n",
"groq_client = groq.Groq() # auto-traced by Openlayer"
]
},
{
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6 changes: 3 additions & 3 deletions examples/tracing/litellm/litellm_tracing.ipynb
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Expand Up @@ -63,10 +63,10 @@
"metadata": {},
"outputs": [],
"source": [
"from openlayer.lib import trace_litellm\n",
"from openlayer.lib import init\n",
"\n",
"# Enable tracing for all LiteLLM completions\n",
"trace_litellm()\n"
"# Auto-instrument the installed LLM SDKs (LiteLLM, etc.)\n",
"init()"
]
},
{
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6 changes: 4 additions & 2 deletions examples/tracing/mistral/mistral_tracing.ipynb
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Expand Up @@ -62,9 +62,11 @@
"source": [
"import mistralai\n",
"\n",
"from openlayer.lib import trace_mistral\n",
"from openlayer.lib import init\n",
"\n",
"mistral_client = trace_mistral(mistralai.Mistral(api_key=\"YOUR_MISTRAL_AI_API_KEY_HERE\"))"
"init()\n",
"\n",
"mistral_client = mistralai.Mistral(api_key=\"YOUR_MISTRAL_AI_API_KEY_HERE\") # auto-traced by Openlayer"
]
},
{
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6 changes: 4 additions & 2 deletions examples/tracing/openai/openai_tracing.ipynb
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Expand Up @@ -65,9 +65,11 @@
"metadata": {},
"outputs": [],
"source": [
"from openlayer.lib import trace_openai\n",
"from openlayer.lib import init\n",
"\n",
"openai_client = trace_openai(openai.OpenAI())"
"init()\n",
"\n",
"openai_client = openai.OpenAI() # auto-traced by Openlayer"
]
},
{
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6 changes: 3 additions & 3 deletions examples/tracing/portkey/portkey_tracing.ipynb
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Expand Up @@ -62,10 +62,10 @@
"metadata": {},
"outputs": [],
"source": [
"from openlayer.lib import trace_portkey\n",
"from openlayer.lib import init\n",
"\n",
"# Enable openlayer tracing for all Portkey completions\n",
"trace_portkey()"
"# Auto-instrument the installed LLM SDKs (Portkey, etc.)\n",
"init()"
]
},
{
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7 changes: 4 additions & 3 deletions examples/tracing/rag/rag_tracing.ipynb
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Expand Up @@ -64,7 +64,7 @@
"from sklearn.metrics.pairwise import cosine_similarity\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"from openlayer.lib import trace, trace_openai"
"from openlayer.lib import init, trace"
]
},
{
Expand All @@ -76,8 +76,9 @@
"source": [
"class RagPipeline:\n",
" def __init__(self, context_path: str):\n",
" # Wrap OpenAI client with Openlayer's `trace_openai` to trace it\n",
" self.openai_client = trace_openai(OpenAI())\n",
" # Auto-instrument the installed LLM SDKs (OpenAI, etc.)\n",
" init()\n",
" self.openai_client = OpenAI() # auto-traced by Openlayer\n",
"\n",
" self.vectorizer = TfidfVectorizer()\n",
" with open(context_path, \"r\", encoding=\"utf-8\") as file:\n",
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