Providers & Models

Supported LLM providers and models in the Lyzr ADK

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"
)

Provider Formats

You can specify providers in two formats:

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

---

Model Information

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”)