Quick Start: Hello, World!

# update your agent information, and then connect to it
from ia.gaius.agent_client import AgentClient

api_key = '<YOUR-API-KEY-HERE>'
name    = '<YOUR-AGENT-NAME-HERE>'
domain  = 'localhost'
secure  = True

agent_info = {'api_key': api_key,
               'name':  name,
               'domain': domain,
               'secure': secure}

agent_info = {'api_key': 'ABCD-1234',
              'name': '',
              'domain': 'gaius-api:80',
              'secure': False}

agent = AgentClient(agent_info, verify=False)
agent.connect()

{'connection': 'okay', 'agent': 'simple'}

# Let's use only one node
ingress_nodes = ['P1']
query_nodes   = ['P1']

agent.set_ingress_nodes(ingress_nodes)
agent.set_query_nodes(query_nodes)

[{'id': 'p46b6b076c', 'name': 'P1'}]

Four API Calls

# clear working memory
agent.clear_wm(nodes=ingress_nodes)
# agent.clear_wm()

'wm-cleared'

sequence_1 = [{"strings": ["hello"], "vectors": [], "emotives": {}},
              {"strings": ["world"], "vectors": [], "emotives": {}}]

# Observe a sequence of events
for event in sequence_1:
    agent.observe(data=event,nodes=ingress_nodes)

# Learn a sequence
agent.learn(nodes=ingress_nodes)

'MODEL|7d0678ba6305341ce0d25133ab086208656a562f'

# Observe new data
agent.observe(data={"strings": ["hello"], "vectors": [], "emotives": {}},nodes=ingress_nodes)

'observed'

# Get Predictions
agent.get_predictions()

[{'confidence': 1,
  'confluence': 0.5,
  'emotives': {},
  'entropy': 0.5,
  'evidence': 0.5,
  'extras': [],
  'fragmentation': 0,
  'frequency': 5,
  'future': [['world']],
  'grand_hamiltonian': 0.5,
  'hamiltonian': 0,
  'itfdf_similarity': 1,
  'matches': ['hello'],
  'missing': [],
  'name': '7d0678ba6305341ce0d25133ab086208656a562f',
  'past': [],
  'potential': 3.5,
  'present': [['hello']],
  'similarity': 0.666666687,
  'snr': 1,
  'type': 'prototypical'}]