Post-Call Analytics

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from smallestai.atoms.call import Call
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call = Call()
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# Get call details
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details = call.get_call("CALL-1768842587790-69eb58")
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data = details["data"]
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# Access analytics
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analytics = data.get("postCallAnalytics", {})
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print(f"Summary: {analytics.get('summary')}")
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for metric in analytics.get("dispositionMetrics", []):
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    print(f"  {metric['identifier']}: {metric['value']}")
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    print(f"    Confidence: {metric['confidence']}")
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    print(f"    Reasoning: {metric['reasoning']}")

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from smallestai.atoms.call import Call
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call = Call()
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call.set_post_call_config(
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    agent_id="696e655577e1d88ff54b4fbf",
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    summary_prompt="Summarize this sales call briefly.",
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    disposition_metrics=[
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        {
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            "identifier": "user_interested",
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            "dispositionMetricPrompt": "Was the user interested? yes, no, or unclear",
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            "dispositionValues": {"type": "ENUM"},
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            "choices": ["yes", "no", "unclear"]
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        },
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        {
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            "identifier": "user_name",
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            "dispositionMetricPrompt": "What is the user's name? Return 'unknown' if not mentioned.",
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            "dispositionValues": {"type": "STRING"}
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        }
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    ]
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)

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config = call.get_post_call_config("696e655577e1d88ff54b4fbf")
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print("Configured metrics:")
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for metric in config["data"].get("dispositionMetrics", []):
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    print(f"  {metric['identifier']}: {metric['dispositionMetricType']}")

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import time
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from smallestai.atoms import AtomsClient
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from smallestai.atoms.call import Call
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from smallestai.atoms.audience import Audience
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from smallestai.atoms.campaign import Campaign
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client = AtomsClient()
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call = Call()
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audience = Audience()
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campaign = Campaign()
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# 1. Create agent
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agent = client.new_agent(
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    name=f"Sales Agent {int(time.time())}",
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    prompt="You are a sales agent. Ask if interested and get their name.",
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    description="Testing disposition metrics"
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)
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agent_id = agent.data
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# 2. Configure disposition metrics
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call.set_post_call_config(
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    agent_id=agent_id,
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    summary_prompt="Summarize this sales call briefly.",
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    disposition_metrics=[
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        {
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            "identifier": "user_interested",
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            "dispositionMetricPrompt": "Was the user interested? yes, no, or unclear",
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            "dispositionValues": {"type": "ENUM"},
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            "choices": ["yes", "no", "unclear"]
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        },
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        {
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            "identifier": "user_name",
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            "dispositionMetricPrompt": "What is the user's name? Return 'unknown' if not mentioned.",
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            "dispositionValues": {"type": "STRING"}
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        }
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    ]
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)
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# 3. Create audience and campaign
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phones = client.get_phone_numbers()
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phone_id = phones["data"][0]["_id"]
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aud = audience.create(
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    name=f"Test Audience {int(time.time())}",
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    phone_numbers=["+916366821717"],
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    names=[("Test", "User")]
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)
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audience_id = aud["data"]["_id"]
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camp = campaign.create(
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    name=f"Analytics Test {int(time.time())}",
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    agent_id=agent_id,
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    audience_id=audience_id,
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    phone_ids=[phone_id]
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)
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campaign_id = camp["data"]["_id"]
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# 4. Start campaign
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campaign.start(campaign_id)
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print("Call in progress...")
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# 5. Wait for completion
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time.sleep(60)
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# 6. Get call with analytics
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calls = call.get_calls(agent_id=agent_id, limit=1)
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call_id = calls["data"]["logs"][0]["callId"]
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details = call.get_call(call_id)
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data = details["data"]
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# 7. Display results
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print(f"\nCall Status: {data['status']}")
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print(f"Duration: {data['duration']}s")
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print("\nTranscript:")
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for line in data.get("transcript", []):
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    print(f"  [{line['role'].upper()}]: {line['content']}")
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analytics = data.get("postCallAnalytics", {})
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if analytics:
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    print(f"\nSummary: {analytics.get('summary')}")
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    print("\nDisposition Metrics:")
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    for m in analytics.get("dispositionMetrics", []):
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        print(f"  {m['identifier']}: {m['value']}")
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        print(f"    Confidence: {m['confidence']}")
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        print(f"    Reasoning: {m['reasoning']}")
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# 8. Cleanup
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campaign.delete(campaign_id)
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audience.delete(audience_id)
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client.delete_agent(id=agent_id)