repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/cohere/retry.py | cookbook/11_models/cohere/retry.py | """Example demonstrating how to set up retries with Cohere."""
from agno.agent import Agent
from agno.models.cohere import CohereChat
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "cohere-wrong-id"
agent = Agent(
model=CohereChat(
id=wrong_model_id,
retries=3, ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/cohere/__init__.py | cookbook/11_models/cohere/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/cohere/image_agent_local_file.py | cookbook/11_models/cohere/image_agent_local_file.py | from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.cohere.chat import Cohere
from agno.utils.media import download_image
agent = Agent(
model=Cohere(id="c4ai-aya-vision-8b"),
markdown=True,
)
image_path = Path(__file__).parent.joinpath("sample.jpg")
download_... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/cohere/structured_output.py | cookbook/11_models/cohere/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.cohere import Cohere
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbuster movie."... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/cohere/async_structured_output.py | cookbook/11_models/cohere/async_structured_output.py | import asyncio
from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.cohere import Cohere
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a bloc... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/cohere/async_basic.py | cookbook/11_models/cohere/async_basic.py | """
Basic async example using Cohere.
"""
import asyncio
from agno.agent import Agent
from agno.models.cohere import Cohere
agent = Agent(
model=Cohere(id="command-a-03-2025"),
markdown=True,
)
asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/image_agent.py | cookbook/11_models/lmstudio/image_agent.py | import httpx
from agno.agent import Agent
from agno.media import Image
from agno.models.lmstudio import LMStudio
agent = Agent(
model=LMStudio(id="llama3.2-vision"),
markdown=True,
)
response = httpx.get(
"https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
)
agent.print_respons... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/tool_use_stream.py | cookbook/11_models/lmstudio/tool_use_stream.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.lmstudio import LMStudio
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=LMStudio(id="qwen2.5-7b-instruct-1m"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("Whats... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/memory.py | cookbook/11_models/lmstudio/memory.py | """
This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `pip install ollama sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/models/lmstudio/memory... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/db.py | cookbook/11_models/lmstudio/db.py | """Run `pip install ddgs sqlalchemy` to install dependencies."""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.lmstudio import LMStudio
from agno.tools.duckduckgo import DuckDuckGoTools
# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/basic_stream.py | cookbook/11_models/lmstudio/basic_stream.py | from typing import Iterator # noqa
from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.lmstudio import LMStudio
agent = Agent(model=LMStudio(id="qwen2.5-7b-instruct-1m"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/knowledge.py | cookbook/11_models/lmstudio/knowledge.py | """Run `pip install ddgs sqlalchemy pgvector pypdf openai ollama` to install dependencies."""
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.lmstudio import LMStudio
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowl... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/tool_use.py | cookbook/11_models/lmstudio/tool_use.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.lmstudio import LMStudio
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=LMStudio(id="qwen2.5-7b-instruct-1m"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("Whats... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/basic.py | cookbook/11_models/lmstudio/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.lmstudio import LMStudio
agent = Agent(model=LMStudio(id="qwen2.5-7b-instruct-1m"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the termina... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/retry.py | cookbook/11_models/lmstudio/retry.py | """Example demonstrating how to set up retries with LM Studio."""
from agno.agent import Agent
from agno.models.lmstudio import LMStudio
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "lmstudio-wrong-id"
agent = Agent(
model=LMStudio(
id=wrong_model_id,
retries=... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/__init__.py | cookbook/11_models/lmstudio/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/lmstudio/structured_output.py | cookbook/11_models/lmstudio/structured_output.py | from typing import List
from agno.agent import Agent
from agno.models.lmstudio import LMStudio
from agno.run.agent import RunOutput
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
name: str = Field(..., description="Give a name to this movie")
settin... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/data_analyst.py | cookbook/11_models/langdb/data_analyst.py | """Run `pip install duckdb` to install dependencies."""
from textwrap import dedent
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.duckdb import DuckDbTools
duckdb_tools = DuckDbTools(
create_tables=False, export_tables=False, summarize_tables=False
)
duckdb_tools.create_table... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/finance_agent.py | cookbook/11_models/langdb/finance_agent.py | """Run `pip install yfinance` to install dependencies."""
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.yfinance import YFinanceTools
agent = Agent(
model=LangDB(id="llama3-1-70b-instruct-v1.0"),
tools=[YFinanceTools()],
description="You are an investment analyst that ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/web_search.py | cookbook/11_models/langdb/web_search.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=LangDB(id="llama3-1-70b-instruct-v1.0"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("Whats h... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/agent_stream.py | cookbook/11_models/langdb/agent_stream.py | """Run `pip install yfinance` to install dependencies."""
from typing import Iterator # noqa
from agno.agent import Agent, RunOutput # noqa
from agno.models.langdb import LangDB
from agno.tools.yfinance import YFinanceTools
agent = Agent(
model=LangDB(id="gemini-1.5-pro-latest"),
tools=[YFinanceTools()],
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/basic_stream.py | cookbook/11_models/langdb/basic_stream.py | from typing import Iterator # noqa
from agno.agent import Agent, RunOutput # noqa
from agno.models.langdb import LangDB
agent = Agent(
model=LangDB(id="llama3-1-70b-instruct-v1.0"),
markdown=True,
)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence hor... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/basic.py | cookbook/11_models/langdb/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.langdb import LangDB
agent = Agent(model=LangDB(id="llama3-1-70b-instruct-v1.0"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/retry.py | cookbook/11_models/langdb/retry.py | """Example demonstrating how to set up retries with LangDB."""
from agno.agent import Agent
from agno.models.langdb import LangDB
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "langdb-wrong-id"
agent = Agent(
model=LangDB(
id=wrong_model_id,
retries=3, # Numbe... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/__init__.py | cookbook/11_models/langdb/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/agent.py | cookbook/11_models/langdb/agent.py | """Run `pip install yfinance` to install dependencies."""
from agno.agent import Agent, RunOutput # noqa
from agno.models.langdb import LangDB
from agno.tools.yfinance import YFinanceTools
agent = Agent(
model=LangDB(id="gpt-4o"),
tools=[YFinanceTools()],
instructions=["Use tables where possible."],
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/langdb/structured_output.py | cookbook/11_models/langdb/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.langdb import LangDB
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbuster movie."... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/tool_use_stream.py | cookbook/11_models/huggingface/tool_use_stream.py | from agno.agent import Agent
from agno.models.huggingface import HuggingFace
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=HuggingFace(id="openai/gpt-oss-120b"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("What is the latest news on AI?", stream=True)
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/basic_stream.py | cookbook/11_models/huggingface/basic_stream.py | from agno.agent import Agent
from agno.models.huggingface import HuggingFace
agent = Agent(
model=HuggingFace(id="openai/gpt-oss-120b", max_tokens=4096, temperature=0),
)
agent.print_response(
"What is meaning of life and then recommend 5 best books to read about it",
stream=True,
)
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/tool_use.py | cookbook/11_models/huggingface/tool_use.py | from agno.agent import Agent
from agno.models.huggingface import HuggingFace
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=HuggingFace(id="openai/gpt-oss-120b"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("What is the latest news on AI?")
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/basic.py | cookbook/11_models/huggingface/basic.py | from agno.agent import Agent
from agno.models.huggingface import HuggingFace
agent = Agent(
model=HuggingFace(
id="mistralai/Mistral-7B-Instruct-v0.2", max_tokens=4096, temperature=0
),
)
agent.print_response(
"What is meaning of life and then recommend 5 best books to read about it"
)
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/async_basic_stream.py | cookbook/11_models/huggingface/async_basic_stream.py | import asyncio
from agno.agent import Agent
from agno.models.huggingface import HuggingFace
agent = Agent(
model=HuggingFace(id="openai/gpt-oss-120b", max_tokens=4096, temperature=0),
)
asyncio.run(
agent.aprint_response(
"What is meaning of life and then recommend 5 best books to read about it",
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/retry.py | cookbook/11_models/huggingface/retry.py | """Example demonstrating how to set up retries with Hugging Face."""
from agno.agent import Agent
from agno.models.huggingface import HuggingFace
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "huggingface-wrong-id"
agent = Agent(
model=HuggingFace(
id=wrong_model_id,
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/__init__.py | cookbook/11_models/huggingface/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/llama_essay_writer.py | cookbook/11_models/huggingface/llama_essay_writer.py | from agno.agent import Agent
from agno.models.huggingface import HuggingFace
agent = Agent(
model=HuggingFace(
id="openai/gpt-oss-120b",
max_tokens=4096,
),
description="You are an essay writer. Write a 300 words essay on topic that will be provided by user",
)
agent.print_response("topic: ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/huggingface/async_basic.py | cookbook/11_models/huggingface/async_basic.py | import asyncio
from agno.agent import Agent
from agno.models.huggingface import HuggingFace
agent = Agent(
model=HuggingFace(id="openai/gpt-oss-120b", max_tokens=4096, temperature=0),
)
asyncio.run(
agent.aprint_response(
"What is meaning of life and then recommend 5 best books to read about it"
)... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/async_tool_use.py | cookbook/11_models/openrouter/async_tool_use.py | """Run `pip install ddgs` to install dependencies."""
import asyncio
from agno.agent import Agent
from agno.models.openrouter import OpenRouter
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenRouter(id="openai/gpt-4o"),
tools=[DuckDuckGoTools()],
markdown=True,
)
asyncio.run(ag... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/basic_stream.py | cookbook/11_models/openrouter/basic_stream.py | from typing import Iterator # noqa
from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.openrouter import OpenRouter
agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", st... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/tool_use.py | cookbook/11_models/openrouter/tool_use.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.openrouter import OpenRouter
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenRouter(id="gpt-4o"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("Whats happening... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/basic.py | cookbook/11_models/openrouter/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.openrouter import OpenRouter
agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
agent.pr... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/async_basic_stream.py | cookbook/11_models/openrouter/async_basic_stream.py | import asyncio
from typing import Iterator # noqa
from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.openrouter import OpenRouter
agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence h... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/dynamic_model_router.py | cookbook/11_models/openrouter/dynamic_model_router.py | """
This example demonstrates how to use dynamic model router with OpenRouter.
Dynamic models provide automatic failover when the primary model encounters:
- Rate limits
- Timeouts
- Unavailability
- Model overload
OpenRouter will automatically try the models defined in order until one succeeds.
"""
from agno.agent ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/retry.py | cookbook/11_models/openrouter/retry.py | """Example demonstrating how to set up retries with OpenRouter."""
from agno.agent import Agent
from agno.models.openrouter import OpenRouter
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "openrouter-wrong-id"
agent = Agent(
model=OpenRouter(
id=wrong_model_id,
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/__init__.py | cookbook/11_models/openrouter/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/structured_output.py | cookbook/11_models/openrouter/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.openrouter import OpenRouter
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbuster... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/openrouter/async_basic.py | cookbook/11_models/openrouter/async_basic.py | import asyncio
from agno.agent import Agent, RunOutput # noqa
from agno.models.openrouter import OpenRouter
agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the t... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/basic_stream.py | cookbook/11_models/siliconflow/basic_stream.py | from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.siliconflow import Siliconflow
agent = Agent(model=Siliconflow(id="openai/gpt-oss-120b"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Explain quantum computing in simple terms", stream=True)... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/tool_use.py | cookbook/11_models/siliconflow/tool_use.py | """Run `pip install duckduckgo-search` to install dependencies."""
from agno.agent import Agent
from agno.models.siliconflow import Siliconflow
from agno.tools.duckduckgo import DuckDuckGoTools
"""
The current version of the siliconflow-chat model's Function Calling capability is stable and supports tool integration ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/async_basic_streaming.py | cookbook/11_models/siliconflow/async_basic_streaming.py | """
Basic streaming async example using siliconflow.
"""
import asyncio
from agno.agent import Agent
from agno.models.siliconflow import Siliconflow
agent = Agent(
model=Siliconflow(id="openai/gpt-oss-120b"),
markdown=True,
)
asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/basic.py | cookbook/11_models/siliconflow/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.siliconflow import Siliconflow
agent = Agent(model=Siliconflow(id="openai/gpt-oss-120b"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Explain quantum computing in simple terms")
# print(run.content)
# Print the respons... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/retry.py | cookbook/11_models/siliconflow/retry.py | """Example demonstrating how to set up retries with SiliconFlow."""
from agno.agent import Agent
from agno.models.siliconflow import SiliconFlow
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "siliconflow-wrong-id"
agent = Agent(
model=SiliconFlow(
id=wrong_model_id,
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/__init__.py | cookbook/11_models/siliconflow/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/siliconflow/structured_output.py | cookbook/11_models/siliconflow/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.siliconflow import Siliconflow
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbust... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/retry.py | cookbook/11_models/aws/retry.py | """Example demonstrating how to set up retries with AWS Bedrock."""
from agno.agent import Agent
from agno.models.aws import AwsBedrock
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "aws-bedrock-wrong-id"
agent = Agent(
model=AwsBedrock(
id=wrong_model_id,
retr... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/__init__.py | cookbook/11_models/aws/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/image_agent.py | cookbook/11_models/aws/claude/image_agent.py | from agno.agent import Agent
from agno.media import Image
from agno.models.aws import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response(
"Tell me ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/tool_use_stream.py | cookbook/11_models/aws/claude/tool_use_stream.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.aws import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.prin... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/db.py | cookbook/11_models/aws/claude/db.py | """Run `pip install ddgs sqlalchemy anthropic` to install dependencies."""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.aws import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = Postgre... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/async_tool_use.py | cookbook/11_models/aws/claude/async_tool_use.py | """
Async example using Claude with tool calls.
"""
import asyncio
from agno.agent import Agent
from agno.models.aws import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"),
tools=[DuckDuckGoTools()],
markdown=True... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/basic_stream.py | cookbook/11_models/aws/claude/basic_stream.py | from typing import Iterator # noqa
from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.aws import Claude
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"), markdown=True
)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Sha... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/knowledge.py | cookbook/11_models/aws/claude/knowledge.py | """Run `pip install ddgs sqlalchemy pgvector pypdf openai anthropic` to install dependencies."""
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.aws import Claude
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowledge... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/tool_use.py | cookbook/11_models/aws/claude/tool_use.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.aws import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.prin... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/basic.py | cookbook/11_models/aws/claude/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.aws import Claude
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"), markdown=True
)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/async_basic_stream.py | cookbook/11_models/aws/claude/async_basic_stream.py | import asyncio
from typing import Iterator # noqa
from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.aws import Claude
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"), markdown=True
)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/__init__.py | cookbook/11_models/aws/claude/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/structured_output.py | cookbook/11_models/aws/claude/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.aws import Claude
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbuster movie."
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/claude/async_basic.py | cookbook/11_models/aws/claude/async_basic.py | import asyncio
from agno.agent import Agent, RunOutput # noqa
from agno.models.aws import Claude
agent = Agent(
model=Claude(id="global.anthropic.claude-sonnet-4-5-20250929-v1:0"), markdown=True
)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.conten... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/image_agent_bytes.py | cookbook/11_models/aws/bedrock/image_agent_bytes.py | from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.aws import AwsBedrock
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.utils.media import download_image
agent = Agent(
model=AwsBedrock(id="amazon.nova-pro-v1:0"),
tools=[DuckDuckGoTools()],
mar... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/tool_use_stream.py | cookbook/11_models/aws/bedrock/tool_use_stream.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.aws import AwsBedrock
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=AwsBedrock(id="amazon.nova-lite-v1:0"),
tools=[DuckDuckGoTools()],
instructions="You are a helpful assistant that... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/basic_stream.py | cookbook/11_models/aws/bedrock/basic_stream.py | from typing import Iterator # noqa
from agno.agent import Agent, RunOutputEvent # noqa
from agno.models.aws import AwsBedrock
agent = Agent(model=AwsBedrock(id="mistral.mistral-small-2402-v1:0"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/async_tool_use_stream.py | cookbook/11_models/aws/bedrock/async_tool_use_stream.py | """Run `pip install ddgs` to install dependencies."""
import asyncio
from agno.agent import Agent
from agno.models.aws import AwsBedrock
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=AwsBedrock(id="amazon.nova-lite-v1:0"),
tools=[DuckDuckGoTools()],
instructions="You are a helpfu... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/tool_use.py | cookbook/11_models/aws/bedrock/tool_use.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.models.aws import AwsBedrock
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=AwsBedrock(id="mistral.mistral-large-2402-v1:0"),
tools=[DuckDuckGoTools()],
instructions="You are a helpful assi... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/basic.py | cookbook/11_models/aws/bedrock/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.aws import AwsBedrock
agent = Agent(model=AwsBedrock(id="mistral.mistral-small-2402-v1:0"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/async_basic_stream.py | cookbook/11_models/aws/bedrock/async_basic_stream.py | import asyncio
from agno.agent import Agent
from agno.models.aws import AwsBedrock
agent = Agent(model=AwsBedrock(id="mistral.mistral-small-2402-v1:0"), markdown=True)
# Print the response in the terminal
asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/pdf_agent_bytes.py | cookbook/11_models/aws/bedrock/pdf_agent_bytes.py | from pathlib import Path
from agno.agent import Agent
from agno.media import File
from agno.models.aws import AwsBedrock
from agno.utils.media import download_file
pdf_path = Path(__file__).parent.joinpath("ThaiRecipes.pdf")
download_file(
"https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf", str(pdf_p... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/__init__.py | cookbook/11_models/aws/bedrock/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/structured_output.py | cookbook/11_models/aws/bedrock/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.aws import AwsBedrock
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbuster movie.... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/aws/bedrock/async_basic.py | cookbook/11_models/aws/bedrock/async_basic.py | import asyncio
from agno.agent import Agent, RunOutput # noqa
from agno.models.aws import AwsBedrock
agent = Agent(model=AwsBedrock(id="mistral.mistral-small-2402-v1:0"), markdown=True)
# Print the response in the terminal
asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/image_agent.py | cookbook/11_models/vercel/image_agent.py | from agno.agent import Agent
from agno.media import Image
from agno.models.vercel import V0
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=V0(id="v0-1.0-md"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response(
"Tell me about this image and give me the latest news... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/async_tool_use.py | cookbook/11_models/vercel/async_tool_use.py | """Run `pip install ddgs` to install dependencies."""
import asyncio
from agno.agent import Agent
from agno.models.vercel import V0
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=V0(id="v0-1.0-md"),
tools=[DuckDuckGoTools()],
markdown=True,
)
asyncio.run(agent.aprint_response("Wha... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/basic_stream.py | cookbook/11_models/vercel/basic_stream.py | from typing import Iterator # noqa
from agno.agent import Agent, RunOutput # noqa
from agno.models.vercel import V0
agent = Agent(model=V0(id="v0-1.0-md"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/knowledge.py | cookbook/11_models/vercel/knowledge.py | """Run `pip install ddgs` to install dependencies."""
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.vercel import V0
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowledge = Knowledge(
vector_db=PgVector(table_n... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/tool_use.py | cookbook/11_models/vercel/tool_use.py | """Build a Web Search Agent using xAI."""
from agno.agent import Agent
from agno.models.vercel import V0
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=V0(id="v0-1.0-md"),
tools=[DuckDuckGoTools()],
markdown=True,
)
agent.print_response("Whats happening in France?", stream=True)
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/basic.py | cookbook/11_models/vercel/basic.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.vercel import V0
agent = Agent(model=V0(id="v0-1.0-md"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
agent.print_response("Sha... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/async_basic_stream.py | cookbook/11_models/vercel/async_basic_stream.py | import asyncio
from typing import Iterator # noqa
from agno.agent import Agent, RunOutput # noqa
from agno.models.vercel import V0
agent = Agent(model=V0(id="v0-1.0-md"), markdown=True)
# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", stream=T... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/retry.py | cookbook/11_models/vercel/retry.py | """Example demonstrating how to set up retries with Vercel AI."""
from agno.agent import Agent
from agno.models.vercel import v0
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "vercel-wrong-id"
agent = Agent(
model=v0(
id=wrong_model_id,
retries=3, # Number of ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/__init__.py | cookbook/11_models/vercel/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/vercel/async_basic.py | cookbook/11_models/vercel/async_basic.py | import asyncio
from agno.agent import Agent, RunOutput # noqa
from agno.models.vercel import V0
agent = Agent(model=V0(id="v0-1.0-md"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
asyncio.r... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/tool_use_stream.py | cookbook/11_models/nebius/tool_use_stream.py | from agno.agent import Agent
from agno.models.nebius import Nebius
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Nebius(id="Qwen/Qwen3-30B-A3B"),
tools=[DuckDuckGoTools()],
markdown=True,
)
# Print the response in the terminal
agent.print_response("Whats happening in France?", str... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/db.py | cookbook/11_models/nebius/db.py | """Run `pip install ddgs sqlalchemy cerebras_cloud_sdk` to install dependencies."""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.nebius import Nebius
from agno.tools.duckduckgo import DuckDuckGoTools
# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/async_tool_use.py | cookbook/11_models/nebius/async_tool_use.py | import asyncio
from agno.agent import Agent
from agno.models.nebius import Nebius
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Nebius(id="Qwen/Qwen3-30B-A3B"),
tools=[DuckDuckGoTools()],
markdown=True,
)
asyncio.run(agent.aprint_response("Whats happening in France?"))
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/basic_stream.py | cookbook/11_models/nebius/basic_stream.py | from agno.agent import Agent
from agno.models.nebius import Nebius
agent = Agent(
model=Nebius(),
markdown=True,
)
# Print the response in the terminal
agent.print_response("write a two sentence horror story", stream=True)
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/knowledge.py | cookbook/11_models/nebius/knowledge.py | """Run `pip install ddgs sqlalchemy pgvector pypdf cerebras_cloud_sdk` to install dependencies."""
from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.nebius import Nebius
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
know... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/async_tool_use_stream.py | cookbook/11_models/nebius/async_tool_use_stream.py | import asyncio
from agno.agent import Agent
from agno.models.nebius import Nebius
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Nebius(id="Qwen/Qwen3-30B-A3B"),
tools=[DuckDuckGoTools()],
markdown=True,
)
asyncio.run(agent.aprint_response("Whats happening in France?", stream=True... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/tool_use.py | cookbook/11_models/nebius/tool_use.py | from agno.agent import Agent
from agno.models.nebius import Nebius
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=Nebius(id="Qwen/Qwen3-30B-A3B"),
tools=[DuckDuckGoTools()],
markdown=True,
)
# Print the response in the terminal
agent.print_response("Whats happening in France?")
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/basic.py | cookbook/11_models/nebius/basic.py | from agno.agent import Agent
from agno.models.nebius import Nebius
agent = Agent(
model=Nebius(),
markdown=True,
)
# Print the response in the terminal
agent.print_response("write a two sentence horror story")
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/async_basic_stream.py | cookbook/11_models/nebius/async_basic_stream.py | import asyncio
from agno.agent import Agent
from agno.models.nebius import Nebius
agent = Agent(
model=Nebius(),
markdown=True,
)
# Print the response in the terminal
asyncio.run(agent.aprint_response("write a two sentence horror story", stream=True))
| python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/retry.py | cookbook/11_models/nebius/retry.py | """Example demonstrating how to set up retries with Nebius."""
from agno.agent import Agent
from agno.models.nebius import Nebius
# We will use a deliberately wrong model ID, to trigger retries.
wrong_model_id = "nebius-wrong-id"
agent = Agent(
model=Nebius(
id=wrong_model_id,
retries=3, # Numbe... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/__init__.py | cookbook/11_models/nebius/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/11_models/nebius/structured_output.py | cookbook/11_models/nebius/structured_output.py | from typing import List
from agno.agent import Agent, RunOutput # noqa
from agno.models.nebius import Nebius
from pydantic import BaseModel, Field
from rich.pretty import pprint # noqa
class MovieScript(BaseModel):
setting: str = Field(
..., description="Provide a nice setting for a blockbuster movie."... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
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