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2367901ec5
Co-authored-by: George Weale <gweale@google.com> PiperOrigin-RevId: 858763407
175 lines
5.0 KiB
Python
175 lines
5.0 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import datetime
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import json
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import re
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from typing import Any
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from zoneinfo import ZoneInfo
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from zoneinfo import ZoneInfoNotFoundError
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from google.adk.agents.llm_agent import Agent
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from google.adk.models.lite_llm import LiteLlm
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from google.adk.models.lite_llm import LiteLLMClient
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class InlineJsonToolClient(LiteLLMClient):
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"""LiteLLM client that emits inline JSON tool calls for testing."""
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async def acompletion(self, model, messages, tools, **kwargs):
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del tools, kwargs # Only needed for API parity.
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tool_message = _find_last_role(messages, role="tool")
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if tool_message:
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tool_summary = _coerce_to_text(tool_message.get("content"))
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return {
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"id": "mock-inline-tool-final-response",
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"model": model,
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"choices": [{
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"message": {
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"role": "assistant",
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"content": (
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f"The instrumentation tool responded with: {tool_summary}"
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),
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},
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"finish_reason": "stop",
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}],
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"usage": {
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"prompt_tokens": 60,
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"completion_tokens": 12,
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"total_tokens": 72,
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},
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}
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timezone = _extract_timezone(messages) or "Asia/Taipei"
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inline_call = json.dumps(
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{
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"name": "get_current_time",
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"arguments": {"timezone_str": timezone},
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},
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separators=(",", ":"),
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)
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return {
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"id": "mock-inline-tool-call",
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"model": model,
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"choices": [{
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"message": {
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"role": "assistant",
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"content": (
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f"{inline_call}\nLet me double-check the clock for you."
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),
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},
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"finish_reason": "tool_calls",
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}],
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"usage": {
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"prompt_tokens": 45,
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"completion_tokens": 15,
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"total_tokens": 60,
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},
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}
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def _find_last_role(
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messages: list[dict[str, Any]], role: str
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) -> dict[str, Any]:
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"""Returns the last message with the given role."""
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for message in reversed(messages):
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if message.get("role") == role:
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return message
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return {}
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def _coerce_to_text(content: Any) -> str:
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"""Best-effort conversion from OpenAI message content to text."""
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if isinstance(content, str):
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return content
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if isinstance(content, dict):
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return _coerce_to_text(content.get("text"))
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if isinstance(content, list):
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texts = []
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for part in content:
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if isinstance(part, dict):
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texts.append(part.get("text") or "")
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elif isinstance(part, str):
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texts.append(part)
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return " ".join(text for text in texts if text)
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return ""
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_TIMEZONE_PATTERN = re.compile(r"([A-Za-z]+/[A-Za-z_]+)")
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def _extract_timezone(messages: list[dict[str, Any]]) -> str | None:
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"""Extracts an IANA timezone string from the last user message."""
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user_message = _find_last_role(messages, role="user")
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text = _coerce_to_text(user_message.get("content"))
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if not text:
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return None
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match = _TIMEZONE_PATTERN.search(text)
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if match:
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return match.group(1)
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lowered = text.lower()
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if "taipei" in lowered:
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return "Asia/Taipei"
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if "new york" in lowered:
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return "America/New_York"
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if "london" in lowered:
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return "Europe/London"
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if "tokyo" in lowered:
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return "Asia/Tokyo"
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return None
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def get_current_time(timezone_str: str) -> dict[str, str]:
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"""Returns mock current time for the provided timezone."""
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try:
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tz = ZoneInfo(timezone_str)
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except ZoneInfoNotFoundError as exc:
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return {
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"status": "error",
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"report": f"Unable to parse timezone '{timezone_str}': {exc}",
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}
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now = datetime.datetime.now(tz)
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return {
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"status": "success",
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"report": (
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f"The current time in {timezone_str} is"
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f" {now.strftime('%Y-%m-%d %H:%M:%S %Z')}."
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),
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}
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_mock_model = LiteLlm(
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model="mock/inline-json-tool-calls",
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llm_client=InlineJsonToolClient(),
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)
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root_agent = Agent(
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name="litellm_inline_tool_tester",
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model=_mock_model,
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description=(
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"Demonstrates LiteLLM inline JSON tool-call parsing without an external"
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" VLLM deployment."
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),
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instruction=(
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"You are a deterministic clock assistant. Always call the"
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" get_current_time tool before answering user questions. After the tool"
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" responds, summarize what it returned."
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),
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tools=[get_current_time],
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)
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