Python Client

pip install lyzr-agent-api

from lyzr_agent_api.client import AgentAPI

client = AgentAPI(x_api_key="your-lyzr-api-key")

from lyzr_agent_api.models.environment import EnvironmentConfig, FeatureConfig

environment_config = EnvironmentConfig(
    name="Test Environment",
    features=[
        FeatureConfig(
            type="SHORT_TERM_MEMORY",
            config={},
            priority=0,
        )
    ],
    tools=[],
    llm_config={
        "provider": "openai",
        "model": "gpt-4o-mini",
        "config": {
            "temperature": 0.5,
            "top_p": 0.9,
        },
        "env": {
            "OPENAI_API_KEY": "your-openai-api-key"
        }
    },
)
environment = client.create_environment_endpoint(json_body=environment_config) 
print(environment)
# The response will include the environment ID, e.g. {'environment_id': '6wjbwhekndjxxxxx'}

response = client.update_environment_endpoint(
    env_id="env-id",
    json_body=environment_config,
)

client.get_environments_endpoint()

from lyzr_agent_api.models.agents import AgentConfig

agent_config = AgentConfig(
    env_id="environment-id",  # Replace with the actual environment ID
    system_prompt="This is a system prompt.",
    name="Test Agent",
    agent_description="Description of the test agent",
)
agent = client.create_agent_endpoint(json_body=agent_config)
print(agent)
# The response will include the agent ID, e.g. {'agent_id': '66fcghvhxxxxxx'}

response = client.update_agent_endpoint(
    agent_id=agent_id,
    json_body=agent_config
)

client.get_agents_endpoint()

response = client.delete_agent_by_id(
    agent_id=agent_id     # Example agent ID to delete
)

from lyzr_agent_api.models.chat import ChatRequest

response = client.chat_with_agent(
    json_body=ChatRequest(
        user_id="user-id",
        agent_id="agent-id",  # Replace with the actual agent ID
        message="Hello",
        session_id="session-id",
    )
)

print(response)

from lyzr_agent_api.models.chat import ChatRequest

response = client.create_chat_task(
        json_body=ChatRequest(
       user_id="your-user-id",
       agent_id="your-agent-id",
       message="scrap the content of https://www.lyzr.ai/ and give summary of it.",
       session_id="your-session-id",
   )
    )

print(response) #e.g {'task_id':'hsjshxxxxxxxx'}

response_status = client.get_task_status(
        task_id=response.task_id,  # Use the task_id from the create response
    )

print(response_status)