Hooks

import json
from google import genai

client = genai.Client()

hooks_config = {
    "security-gate": {
        "pre_tool_execution": [
            {
                "matcher": "code_execution",
                "hooks": [
                    {
                        "type": "command",
                        "command": "python3 /.agents/hooks-scripts/gate.py",
                        "timeout": 10,
                    }
                ],
            }
        ]
    }
}

gate_script = """#!/usr/bin/env python3
import sys, json
data = json.load(sys.stdin)
cmd = str(data.get("tool_call", {}).get("args", {}))
if "rm -rf" in cmd:
    print(json.dumps({"decision": "deny", "reason": "Destructive command blocked by security gate."}))
else:
    print(json.dumps({"decision": "allow"}))
"""

interaction = client.interactions.create(
    agent="antigravity-preview-05-2026",
    input="Run `rm -rf /tmp/forbidden` using code_execution.",
    tools=[{"type": "code_execution"}],
    environment={
        "type": "remote",
        "sources": [
            {
                "type": "inline",
                "target": ".agents/hooks.json",
                "content": json.dumps(hooks_config, indent=2),
            },
            {
                "type": "inline",
                "target": ".agents/hooks-scripts/gate.py",
                "content": gate_script,
            },
        ],
    },
)
print(interaction.output_text)

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});

const hooksConfig = {
    "security-gate": {
        pre_tool_execution: [
            {
                matcher: "code_execution",
                hooks: [
                    {
                        type: "command",
                        command: "python3 /.agents/hooks-scripts/gate.py",
                        timeout: 10,
                    },
                ],
            },
        ],
    },
};

const gateScript = `#!/usr/bin/env python3
import sys, json
data = json.load(sys.stdin)
cmd = str(data.get("tool_call", {}).get("args", {}))
if "rm -rf" in cmd:
    print(json.dumps({"decision": "deny", "reason": "Destructive command blocked by security gate."}))
else:
    print(json.dumps({"decision": "allow"}))
`;

const interaction = await client.interactions.create({
    agent: "antigravity-preview-05-2026",
    input: "Run `rm -rf /tmp/forbidden` using code_execution.",
    tools: [{ type: "code_execution" }],
    environment: {
        type: "remote",
        sources: [
            {
                type: "inline",
                target: ".agents/hooks.json",
                content: JSON.stringify(hooksConfig, null, 2),
            },
            {
                type: "inline",
                target: ".agents/hooks-scripts/gate.py",
                content: gateScript,
            },
        ],
    },
});
console.log(interaction.output_text);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;

Client client = new Client();

CreateAgentInteraction params =
    CreateAgentInteraction.builder()
        .agent(AgentOption.of("antigravity-preview-05-2026"))
        .input(InteractionsInput.of("Build a simple REST API server in Node.js."))
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();

System.out.println(interaction.outputText().orElse(""));

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -d '{
      "agent": "antigravity-preview-05-2026",
      "input": [{"type": "text", "text": "Run `rm -rf /tmp/forbidden` using code_execution."}],
      "tools": [{"type": "code_execution"}],
      "environment": {
          "type": "remote",
          "sources": [
              {
                  "type": "inline",
                  "target": ".agents/hooks.json",
                  "content": "{\"security-gate\": {\"pre_tool_execution\": [{\"matcher\": \"code_execution\", \"hooks\": [{\"type\": \"command\", \"command\": \"python3 /.agents/hooks-scripts/gate.py\", \"timeout\": 10}]}]}}"
              },
              {
                  "type": "inline",
                  "target": ".agents/hooks-scripts/gate.py",
                  "content": "#!/usr/bin/env python3\nimport sys, json\ndata = json.load(sys.stdin)\ncmd = str(data.get(\"tool_call\", {}).get(\"args\", {}))\nif \"rm -rf\" in cmd:\n    print(json.dumps({\"decision\": \"deny\", \"reason\": \"Destructive command blocked by security gate.\"}))\nelse:\n    print(json.dumps({\"decision\": \"allow\"}))\n"
              }
          ]
      }
  }'

import json
from google import genai

client = genai.Client()

hooks_config = {
    "privacy-gate": {
        "pre_tool_execution": [
            {
                "matcher": "read_file",
                "hooks": [
                    {
                        "type": "command",
                        "command": "python3 /.agents/hooks-scripts/check_privacy.py",
                        "timeout": 5,
                    }
                ],
            }
        ]
    }
}

check_privacy_script = """#!/usr/bin/env python3
import sys, json
data = json.load(sys.stdin)
path = str(data.get("tool_call", {}).get("args", {}).get("path", ""))

if "/private/" in path:
    resp = {
        "decision": "deny",
        "reason": "Access to confidential `/private/` records is blocked by PII compliance policy. Query approved `/public/` summary tables instead."
    }
else:
    resp = {"decision": "allow"}

print(json.dumps(resp))
"""

# Step 1: Agent attempts to read confidential PII records and is intercepted
int_1 = client.interactions.create(
    agent="antigravity-preview-05-2026",
    input="Use your filesystem tool to read `/workspace/private/employees.json` and summarize the employee details.",
    environment={
        "type": "remote",
        "sources": [
            {
                "type": "inline",
                "target": ".agents/hooks.json",
                "content": json.dumps(hooks_config, indent=2),
            },
            {
                "type": "inline",
                "target": ".agents/hooks-scripts/check_privacy.py",
                "content": check_privacy_script,
            },
            {
                "type": "inline",
                "target": "workspace/private/employees.json",
                "content": '{"employees": [{"id": 1, "salary": 150000, "ssn": "000-00-0000"}]}',
            },
            {
                "type": "inline",
                "target": "workspace/public/summary.json",
                "content": '{"department": "Engineering", "team_size": 42, "status": "active"}',
            },
        ],
    },
)
print(int_1.output_text)

# Step 2: Continue in the same environment using previous_interaction_id; agent recovers with public tables
int_2 = client.interactions.create(
    agent="antigravity-preview-05-2026",
    input="Understood. Please read the approved `/workspace/public/summary.json` file instead and provide the summary.",
    environment=int_1.environment_id,
    previous_interaction_id=int_1.id,
)
print(int_2.output_text)

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});

const hooksConfig = {
    "privacy-gate": {
        pre_tool_execution: [
            {
                matcher: "read_file",
                hooks: [
                    {
                        type: "command",
                        command: "python3 /.agents/hooks-scripts/check_privacy.py",
                        timeout: 5,
                    },
                ],
            },
        ],
    },
};

const checkPrivacyScript = `#!/usr/bin/env python3
import sys, json
data = json.load(sys.stdin)
path = str(data.get("tool_call", {}).get("args", {}).get("path", ""))

if "/private/" in path:
    resp = {
        "decision": "deny",
        "reason": "Access to confidential \`/private/\` records is blocked by PII compliance policy. Query approved \`/public/\` summary tables instead."
    }
else:
    resp = {"decision": "allow"}

print(json.dumps(resp))
`;

const int1 = await client.interactions.create({
    agent: "antigravity-preview-05-2026",
    input: "Use your filesystem tool to read `/workspace/private/employees.json` and summarize the employee details.",
    environment: {
        type: "remote",
        sources: [
            {
                type: "inline",
                "target": ".agents/hooks.json",
                content: JSON.stringify(hooksConfig, null, 2),
            },
            {
                type: "inline",
                "target": ".agents/hooks-scripts/check_privacy.py",
                content: checkPrivacyScript,
            },
            {
                type: "inline",
                "target": "workspace/private/employees.json",
                content: '{"employees": [{"id": 1, "salary": 150000, "ssn": "000-00-0000"}]}',
            },
            {
                type: "inline",
                "target": "workspace/public/summary.json",
                content: '{"department": "Engineering", "team_size": 42, "status": "active"}',
            },
        ],
    },
});
console.log(int1.output_text);

const int2 = await client.interactions.create({
    agent: "antigravity-preview-05-2026",
    input: "Understood. Please read the approved `/workspace/public/summary.json` file instead and provide the summary.",
    environment: int1.environment_id,
    previous_interaction_id: int1.id,
});
console.log(int2.output_text);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;

Client client = new Client();

CreateAgentInteraction params =
    CreateAgentInteraction.builder()
        .agent(AgentOption.of("antigravity-preview-05-2026"))
        .input(InteractionsInput.of("Build a simple REST API server in Node.js."))
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();

System.out.println(interaction.outputText().orElse(""));

# Step 1: Attempt to access restricted PII directory (blocked by hook)
curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -d '{
      "agent": "antigravity-preview-05-2026",
      "input": [{"type": "text", "text": "Use your filesystem tool to read /workspace/private/employees.json and summarize the employee details."}],
      "environment": {
          "type": "remote",
          "sources": [
              {
                  "type": "inline",
                  "target": ".agents/hooks.json",
                  "content": "{\"privacy-gate\": {\"pre_tool_execution\": [{\"matcher\": \"read_file\", \"hooks\": [{\"type\": \"command\", \"command\": \"python3 /.agents/hooks-scripts/check_privacy.py\", \"timeout\": 5}]}]}}"
              },
              {
                  "type": "inline",
                  "target": ".agents/hooks-scripts/check_privacy.py",
                  "content": "#!/usr/bin/env python3\nimport sys, json\ndata = json.load(sys.stdin)\npath = str(data.get(\"tool_call\", {}).get(\"args\", {}).get(\"path\", \"\"))\nif \"/private/\" in path:\n    resp = {\"decision\": \"deny\", \"reason\": \"Access to confidential `/private/` records is blocked by PII compliance policy. Query approved `/public/` summary tables instead.\"}\nelse:\n    resp = {\"decision\": \"allow\"}\nprint(json.dumps(resp))\n"
              },
              {
                  "type": "inline",
                  "target": "workspace/private/employees.json",
                  "content": "{\"employees\": [{\"id\": 1, \"salary\": 150000, \"ssn\": \"000-00-0000\"}]}"
              },
              {
                  "type": "inline",
                  "target": "workspace/public/summary.json",
                  "content": "{\"department\": \"Engineering\", \"team_size\": 42, \"status\": \"active\"}"
              }
          ]
      }
  }'

# Step 2: Continue in the same environment using $ENV_ID and $INTERACTION_ID from the previous response
# curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
#   -H "Content-Type: application/json" \
#   -H "x-goog-api-key: $GEMINI_API_KEY" \
#   -d '{
#       "agent": "antigravity-preview-05-2026",
#       "input": [{"type": "text", "text": "Understood. Please read the approved /workspace/public/summary.json file instead and provide the summary."}],
#       "environment": "'"$ENV_ID"'",
#       "previous_interaction_id": "'"$INTERACTION_ID"'"
#   }'

import json
from google import genai

client = genai.Client()

# Define hook without secrets; the egress proxy injects headers dynamically
hooks_config = {
    "audit-logging": {
        "post_tool_execution": [
            {
                "matcher": "read_file|write_file",
                "hooks": [
                    {
                        "type": "http",
                        "url": "https://telemetry.example.com/api/v1/agent-events",
                        "timeout": 10,
                    }
                ],
            }
        ]
    }
}

interaction = client.interactions.create(
    agent="antigravity-preview-05-2026",
    input="Use your filesystem tool to create `/workspace/audit.log` containing 'event 1', then immediately read it back using your filesystem read tool.",
    environment={
        "type": "remote",
        "sources": [
            {
                "type": "inline",
                "target": ".agents/hooks.json",
                "content": json.dumps(hooks_config, indent=2),
            }
        ],
        "network": {
            "allowlist": [
                {
                    "domain": "telemetry.example.com",
                    "transform": {
                        "Authorization": "Bearer telemetry_secret_token_123",
                    },
                },
                {"domain": "*"},
            ]
        },
    },
)
print(interaction.output_text)

import { GoogleGenAI } from "@google/genai";

const client = new GoogleGenAI({});

// Define hook without secrets; the egress proxy injects headers dynamically
const hooksConfig = {
    "audit-logging": {
        post_tool_execution: [
            {
                matcher: "read_file|write_file",
                hooks: [
                    {
                        type: "http",
                        url: "https://telemetry.example.com/api/v1/agent-events",
                        timeout: 10,
                    },
                ],
            },
        ],
    },
};

const interaction = await client.interactions.create({
    agent: "antigravity-preview-05-2026",
    input: "Use your filesystem tool to create `/workspace/audit.log` containing 'event 1', then immediately read it back using your filesystem read tool.",
    environment: {
        type: "remote",
        sources: [
            {
                type: "inline",
                target: ".agents/hooks.json",
                content: JSON.stringify(hooksConfig, null, 2),
            },
        ],
        network: {
            allowlist: [
                {
                    domain: "telemetry.example.com",
                    transform: {
                        Authorization: "Bearer telemetry_secret_token_123",
                    },
                },
                { domain: "*" },
            ],
        },
    },
});
console.log(interaction.output_text);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.AgentOption;
import com.google.genai.gaos.models.interactions.CreateAgentInteraction;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;

Client client = new Client();

CreateAgentInteraction params =
    CreateAgentInteraction.builder()
        .agent(AgentOption.of("antigravity-preview-05-2026"))
        .input(InteractionsInput.of("Build a simple REST API server in Node.js."))
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();

System.out.println(interaction.outputText().orElse(""));

curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -d '{
      "agent": "antigravity-preview-05-2026",
      "input": [{"type": "text", "text": "Use your filesystem tool to create /workspace/audit.log containing event 1, then immediately read it back using your filesystem read tool."}],
      "environment": {
          "type": "remote",
          "sources": [
              {
                  "type": "inline",
                  "target": ".agents/hooks.json",
                  "content": "{\"audit-logging\": {\"post_tool_execution\": [{\"matcher\": \"read_file|write_file\", \"hooks\": [{\"type\": \"http\", \"url\": \"https://telemetry.example.com/api/v1/agent-events\", \"timeout\": 10}]}]}}"
              }
          ],
          "network": {
              "allowlist": [
                  {
                      "domain": "telemetry.example.com",
                      "transform": {
                          "Authorization": "Bearer telemetry_secret_token_123"
                      }
                  },
                  {"domain": "*"}
              ]
          }
      }
  }'