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docs(cookbook): add optional langfuse prerequisites
Completes Greptile review follow-up: document langfuse install/env vars as optional in prerequisites, clarify cost cell uses completion_cost(). Co-authored-by: Cursor <cursoragent@cursor.com>
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1 changed files with 11 additions and 2 deletions
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@ -16,6 +16,14 @@
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"pip install litellm ollama\n",
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"```\n",
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"\n",
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"**Optional** — only if you enable the Langfuse callback in the cost-tracking section below:\n",
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"\n",
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"```bash\n",
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"pip install langfuse\n",
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"export LANGFUSE_PUBLIC_KEY=\"your-public-key\"\n",
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"export LANGFUSE_SECRET_KEY=\"your-secret-key\"\n",
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"```\n",
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"\n",
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"Deploy your GGUF model with Ollama:\n",
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"```bash\n",
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"# Pull directly from Hugging Face Hub (no Modelfile needed for basic use)\n",
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@ -131,7 +139,7 @@
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"source": [
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"## Cost tracking for your local model\n",
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"\n",
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"LiteLLM can track usage for local models too — useful when comparing cost efficiency of your fine-tuned model vs cloud."
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"LiteLLM can track usage for local models too — useful when comparing cost efficiency of your fine-tuned model vs cloud. Uses the public `completion_cost()` API (same as `LiteLLM_Completion_Cost.ipynb`). Langfuse logging is optional; see prerequisites."
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]
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},
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{
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@ -140,7 +148,8 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# litellm.success_callback = [\"langfuse\"] # uncomment if you have langfuse installed/configured\n",
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"# Optional: send completions to Langfuse (requires pip install langfuse + env vars above)\n",
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"# litellm.success_callback = [\"langfuse\"]\n",
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"\n",
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"# Set a custom cost for your local model ($/1M tokens)\n",
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"litellm.register_model({\n",
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