Documentation Index
Fetch the complete documentation index at: https://docs.lyzr.ai/llms.txt
Use this file to discover all available pages before exploring further.
The Lyzr ADK supports multiple LLM providers with a variety of models. This reference lists all available providers, their models, and configuration details.
Quick Start
from lyzr import Studio
studio = Studio(api_key="your-api-key")
# Short format - auto-resolves provider
agent = studio.create_agent(
name="Assistant",
provider="gpt-4o" # Auto-resolves to OpenAI
)
# Full format - explicit provider
agent = studio.create_agent(
name="Assistant",
provider="openai/gpt-4o"
)
| Format | Example | Description |
|---|
| Short | "gpt-4o" | ADK auto-detects the provider |
| Full | "openai/gpt-4o" | Explicit provider/model |
# These are equivalent
agent = studio.create_agent(provider="gpt-4o")
agent = studio.create_agent(provider="openai/gpt-4o")
OpenAI
Credential ID: lyzr_openai
| Model | Capability | Speed | Context | Type |
|---|
gpt-4o | 4/5 | 4/5 | 128K | - |
gpt-4o-mini | 2/5 | 5/5 | 128K | - |
gpt-4.1 | 5/5 | 3/5 | 1M | - |
gpt-5 | 4/5 | 2/5 | 400K | Reasoning |
gpt-5-mini | 2/5 | 4/5 | 400K | Reasoning |
gpt-5-nano | 1/5 | 5/5 | 400K | Reasoning |
gpt-5.1 | 4/5 | 2/5 | 400K | Reasoning |
gpt-5.2 | 5/5 | 2/5 | 400K | Reasoning |
o3 | 3/5 | 4/5 | 128K | Reasoning |
o4-mini | 2/5 | 5/5 | 128K | Reasoning |
Examples
# GPT-4o - balanced performance
agent = studio.create_agent(provider="gpt-4o")
# GPT-4o Mini - fast and cost-effective
agent = studio.create_agent(provider="gpt-4o-mini")
# GPT-5 - advanced reasoning
agent = studio.create_agent(provider="gpt-5")
# O3 - reasoning model
agent = studio.create_agent(provider="o3")
Anthropic
Credential ID: lyzr_anthropic
| Model | Capability | Speed | Context | Type |
|---|
claude-sonnet-4-5 | 4/5 | 4/5 | 200K | - |
claude-opus-4-5 | 4/5 | 3/5 | 200K | Reasoning |
claude-sonnet-4-0 | 4/5 | 4/5 | 200K | - |
claude-opus-4-0 | 5/5 | 3/5 | 200K | Reasoning |
claude-opus-4-1 | 5/5 | 3/5 | 200K | Reasoning |
claude-3-7-sonnet-latest | 4/5 | 4/5 | 200K | - |
claude-3-5-haiku-latest | 3/5 | 5/5 | 200K | - |
Examples
# Claude Sonnet 4.5 - balanced
agent = studio.create_agent(provider="claude-sonnet-4-5")
# Claude Opus 4.5 - advanced reasoning
agent = studio.create_agent(provider="claude-opus-4-5")
# Claude Haiku - fast
agent = studio.create_agent(provider="claude-3-5-haiku-latest")
Google
Credential ID: lyzr_google
| Model | Capability | Speed | Context | Type |
|---|
gemini-2.0-flash | 3/5 | 5/5 | 1M | - |
gemini-2.0-flash-lite | 2/5 | 5/5 | 1M | - |
gemini-2.5-pro | 4/5 | 4/5 | 1M | Reasoning |
gemini-2.5-flash | 4/5 | 4/5 | 1M | Reasoning |
gemini-2.5-flash-lite | 2/5 | 4/5 | 1M | Reasoning |
gemini-3-pro-preview | 5/5 | 4/5 | 1M | Reasoning |
Examples
# Gemini 2.5 Pro - advanced
agent = studio.create_agent(provider="gemini-2.5-pro")
# Gemini Flash - fast with 1M context
agent = studio.create_agent(provider="gemini-2.0-flash")
# Gemini 3 Pro Preview - latest
agent = studio.create_agent(provider="gemini-3-pro-preview")
Groq
Credential ID: lyzr_groq
| Model | Capability | Speed | Context | Type |
|---|
llama-3.3-70b-versatile | 2/5 | 5/5 | 128K | - |
llama-3.1-8b-instant | 1/5 | 5/5 | 128K | - |
llama-4-scout-17b-16e-instruct | 3/5 | 5/5 | 131K | - |
llama-4-maverick-17b-128e-instruct | 3/5 | 5/5 | 1M | - |
gpt-oss-120b | 3/5 | 5/5 | 131K | Reasoning |
gpt-oss-20b | 2/5 | 5/5 | 131K | Reasoning |
kimi-k2-instruct | 2/5 | 4/5 | 256K | - |
Examples
# Llama 3.3 70B - versatile
agent = studio.create_agent(provider="llama-3.3-70b-versatile")
# Llama 4 Maverick - 1M context
agent = studio.create_agent(provider="llama-4-maverick-17b-128e-instruct")
# Kimi K2
agent = studio.create_agent(provider="kimi-k2-instruct")
Perplexity
Credential ID: lyzr_perplexity
| Model | Capability | Speed | Context | Type |
|---|
sonar | 2/5 | 4/5 | 128K | - |
sonar-pro | 3/5 | 3/5 | 128K | - |
sonar-reasoning | 3/5 | 4/5 | 128K | Reasoning |
sonar-reasoning-pro | 4/5 | 3/5 | 128K | Reasoning |
sonar-deep-research | 4/5 | 4/5 | 128K | Reasoning |
r1-1776 | 2/5 | 4/5 | 128K | - |
Examples
# Sonar - basic search
agent = studio.create_agent(provider="sonar")
# Sonar Pro - enhanced search
agent = studio.create_agent(provider="sonar-pro")
# Sonar Deep Research - research tasks
agent = studio.create_agent(provider="sonar-deep-research")
AWS Bedrock
Credential ID: lyzr_aws-bedrock
| Model | Capability | Speed | Context | Type |
|---|
amazon.nova-micro-v1:0 | 1/5 | 5/5 | 128K | - |
amazon.nova-lite-v1:0 | 2/5 | 4/5 | 300K | - |
amazon.nova-pro-v1:0 | 3/5 | 4/5 | 300K | - |
anthropic.claude-3-5-sonnet-20241022-v2:0 | 4/5 | 4/5 | 200K | - |
anthropic.claude-3-7-sonnet-20250219-v1:0 | 4/5 | 4/5 | 200K | Reasoning |
meta.llama3-3-70b-instruct-v1:0 | 4/5 | 3/5 | 128K | - |
mistral.mistral-large-2402-v1:0 | 4/5 | 3/5 | 64K | - |
Examples
# Amazon Nova Pro
agent = studio.create_agent(provider="aws-bedrock/amazon.nova-pro-v1:0")
# Claude on Bedrock
agent = studio.create_agent(provider="bedrock/anthropic.claude-3-7-sonnet-20250219-v1:0")
# Llama on Bedrock
agent = studio.create_agent(provider="aws/meta.llama3-3-70b-instruct-v1:0")
Provider Aliases
You can use these aliases when specifying providers:
| Alias | Resolves To |
|---|
openai | OpenAI |
anthropic | Anthropic |
google, gemini | Google |
groq | Groq |
perplexity | Perplexity |
aws-bedrock, bedrock, aws | AWS Bedrock |
Custom Credentials
If you’ve added custom credentials through the Studio UI, use llm_credential_id:
agent = studio.create_agent(
name="Custom Agent",
provider="gpt-4o",
llm_credential_id="my_custom_openai_credential"
)
Choosing a Model
By Use Case
| Use Case | Recommended Models |
|---|
| General assistant | gpt-4o, claude-sonnet-4-5, gemini-2.5-pro |
| Fast responses | gpt-4o-mini, gemini-2.0-flash, llama-3.3-70b-versatile |
| Complex reasoning | gpt-5, claude-opus-4-5, o3 |
| Large context | gemini-2.5-pro (1M), gpt-4.1 (1M), llama-4-maverick (1M) |
| Research tasks | sonar-deep-research, sonar-reasoning-pro |
| Cost-effective | gpt-4o-mini, gemini-2.0-flash-lite, llama-3.1-8b-instant |
Capability vs Speed
High Capability, Slower:
- gpt-5, gpt-5.2, claude-opus-4-5, gemini-3-pro-preview
Balanced:
- gpt-4o, claude-sonnet-4-5, gemini-2.5-pro
Fast, Lower Capability:
- gpt-4o-mini, gemini-2.0-flash, llama-3.1-8b-instant
Each model has these attributes:
| Attribute | Description |
|---|
capability_score | Model capability (1-5 scale) |
speed_score | Response speed (1-5 scale) |
context_window | Maximum context size in tokens |
model_type | Special type (e.g., “Reasoning”) |
