diff --git a/echo/agent/agent.py b/echo/agent/agent.py index 32f244d8e..519f99df1 100644 --- a/echo/agent/agent.py +++ b/echo/agent/agent.py @@ -5,7 +5,8 @@ from copilotkit.langgraph import CopilotKitState from langchain_core.messages import HumanMessage, SystemMessage from langchain_core.tools import tool -from langchain_google_genai import ChatGoogleGenerativeAI +from google.oauth2 import service_account +from langchain_google_vertexai import ChatVertexAI from langgraph.checkpoint.memory import MemorySaver from langgraph.graph import END, StateGraph from langgraph.prebuilt import ToolNode @@ -94,14 +95,29 @@ ) -def _build_llm() -> ChatGoogleGenerativeAI: +VERTEX_AUTH_SCOPES = ["https://www.googleapis.com/auth/cloud-platform"] + + +def _build_llm() -> ChatVertexAI: settings = get_settings() - if not settings.gemini_api_key: - raise ValueError("GEMINI_API_KEY is required") - return ChatGoogleGenerativeAI( - model=settings.llm_model, - google_api_key=settings.gemini_api_key, + credentials = None + project = settings.vertex_project or None + credentials_payload = settings.vertex_credentials or settings.gcp_sa_json + if credentials_payload: + credentials = service_account.Credentials.from_service_account_info( + credentials_payload, + scopes=VERTEX_AUTH_SCOPES, + ) + if not project: + project = credentials_payload.get("project_id") + + return ChatVertexAI( + model_name=settings.llm_model, + project=project, + location=settings.vertex_location, + api_endpoint=settings.vertex_api_endpoint or None, + credentials=credentials, ) diff --git a/echo/agent/pyproject.toml b/echo/agent/pyproject.toml index e3c251c16..2409e3676 100644 --- a/echo/agent/pyproject.toml +++ b/echo/agent/pyproject.toml @@ -6,7 +6,8 @@ requires-python = ">=3.11" dependencies = [ "copilotkit>=0.1.77", "langgraph>=0.2", - "langchain-google-genai>=2.0", + "langchain-google-vertexai>=3.2.2", + "google-auth>=2.35", "fastapi>=0.115", "uvicorn[standard]>=0.30", "httpx>=0.27", diff --git a/echo/agent/settings.py b/echo/agent/settings.py index 392ec0b04..abd0da1d2 100644 --- a/echo/agent/settings.py +++ b/echo/agent/settings.py @@ -1,13 +1,30 @@ +import json from functools import lru_cache +from typing import Any, Optional -from pydantic import Field +from pydantic import Field, field_validator from pydantic_settings import BaseSettings class Settings(BaseSettings): echo_api_url: str = Field(default="http://localhost:8000/api", alias="ECHO_API_URL") - gemini_api_key: str = Field(default="", alias="GEMINI_API_KEY") - llm_model: str = Field(default="gemini-3-pro-preview", alias="LLM_MODEL") + # Vertex model id (no provider prefix). Gemini 3.x is served on the + # global Vertex host only; see vertex_api_endpoint below. + llm_model: str = Field(default="gemini-3.5-flash", alias="LLM_MODEL") + vertex_location: str = Field(default="eu", alias="VERTEX_LOCATION") + # Pinning the global host while keeping locations/ in the request + # path mirrors the server's LiteLLM config (validated in production): + # the regional eu-aiplatform host 404s for gemini-3.x models. + vertex_api_endpoint: str = Field( + default="aiplatform.googleapis.com", alias="VERTEX_API_ENDPOINT" + ) + vertex_project: str = Field(default="", alias="VERTEX_PROJECT") + # Service-account JSON blob. VERTEX_CREDENTIALS wins over GCP_SA_JSON; + # with neither set, Application Default Credentials apply. + vertex_credentials: Optional[dict[str, Any]] = Field( + default=None, alias="VERTEX_CREDENTIALS" + ) + gcp_sa_json: Optional[dict[str, Any]] = Field(default=None, alias="GCP_SA_JSON") agent_graph_recursion_limit: int = Field( default=80, alias="AGENT_GRAPH_RECURSION_LIMIT", @@ -17,6 +34,18 @@ class Settings(BaseSettings): alias="AGENT_CORS_ORIGINS", ) + @field_validator("vertex_credentials", "gcp_sa_json", mode="before") + @classmethod + def _parse_service_account_json(cls, value: Any) -> Optional[dict[str, Any]]: + if value is None or isinstance(value, dict): + return value + if isinstance(value, str): + stripped = value.strip() + if not stripped: + return None + return json.loads(stripped) + raise ValueError("Expected a JSON object or JSON string") + class Config: env_file = ".env" extra = "ignore" diff --git a/echo/agent/tests/test_settings.py b/echo/agent/tests/test_settings.py index 85383df12..2c0424449 100644 --- a/echo/agent/tests/test_settings.py +++ b/echo/agent/tests/test_settings.py @@ -4,7 +4,8 @@ def test_settings_reads_env(monkeypatch): get_settings.cache_clear() monkeypatch.setenv("ECHO_API_URL", "http://example.test/api") - monkeypatch.setenv("GEMINI_API_KEY", "test-key") + monkeypatch.setenv("GCP_SA_JSON", '{"type": "service_account", "project_id": "proj-1"}') + monkeypatch.setenv("VERTEX_LOCATION", "europe-west4") monkeypatch.setenv("LLM_MODEL", "gemini-test") monkeypatch.setenv("AGENT_GRAPH_RECURSION_LIMIT", "64") monkeypatch.setenv("AGENT_CORS_ORIGINS", "http://localhost:1111,http://localhost:2222") @@ -12,7 +13,9 @@ def test_settings_reads_env(monkeypatch): settings = get_settings() assert settings.echo_api_url == "http://example.test/api" - assert settings.gemini_api_key == "test-key" + assert settings.gcp_sa_json == {"type": "service_account", "project_id": "proj-1"} + assert settings.vertex_location == "europe-west4" + assert 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