ניהול משוב באמצעות Python SDK או API בארכיטקטורת REST

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)
# If you don't have an Agent Runtime instance already, create an instance.
agent_engine = client.runtimes.create()

# Optionally, print out the Agent Runtime resource name. You will need the
# resource name to interact with the Feedback service later on.
print(agent_engine.api_resource.name)

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

operation = client.feedback_entries.create(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID",
    session_id="SESSION_ID",
    event_id="EVENT_ID",
    feedback_type="THUMBS_UP",
    config={
        "feedback_text": "The response was helpful and accurate.",
        "feedback_labels": ["accurate"],
        "user_id": "user-123",
        "source": "Chat UI",
        "custom_metadata": {"model_temperature": "0.7"},
    }
)

# Retrieve the created feedback entry details
feedback_entry = operation.response
print(f"Created feedback entry: {feedback_entry.name}")

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

feedback_entry = client.feedback_entries.get(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID/feedbackEntries/FEEDBACK_ENTRY_ID"
)

print(f"Feedback Type: {feedback_entry.feedback_type}")
print(f"Feedback Text: {feedback_entry.feedback_text}")

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

response = client.feedback_entries.list(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID",
    config={
        "filter": 'session_id="SESSION_ID"',
        "order_by": "create_time desc"
    }
)

for entry in response:
    print(f"Entry name: {entry.name}, Type: {entry.feedback_type}")

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

operation = client.feedback_entries.update(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID/feedbackEntries/FEEDBACK_ENTRY_ID",
    feedback_type="THUMBS_DOWN",
    config={
        "feedback_text": "Actually, this response was not accurate.",
        "feedback_labels": ["inaccurate"],
    }
)

updated_entry = operation.response
print(f"Updated entry: {updated_entry.name}")

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

client.feedback_entries.delete(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID/feedbackEntries/FEEDBACK_ENTRY_ID"
)

print("Feedback entry deleted.")

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

feedback_context = client.feedback_entries.feedback_contexts.get(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID/feedbackEntries/FEEDBACK_ENTRY_ID/feedbackContext"
)

# Point to event list
for event in feedback_context.context_events:
    print(f"Author: {event.author}")
    if event.content and event.content.parts:
        print(f"Content: {event.content.parts[0].text}")

import os
import agentplatform

# Set this environment variable to enable the Enterprise features.
os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "TRUE"

client = agentplatform.Client(
    project="PROJECT_ID",
    location="LOCATION"
)

# Construct conversation events
session_event = {
    "author": "user",
    "content": {
        "role": "user",
        "parts": [{"text": "Hello Agent"}]
    }
}

operation = client.feedback_entries.feedback_contexts.update(
    name="projects/PROJECT_ID/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID/feedbackEntries/FEEDBACK_ENTRY_ID",
    context_events=[session_event]
)

updated_context = operation.response
print("Feedback context updated successfully.")