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vertex ai, 2.5 pro

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This commit is contained in:
Paul Walko
2025-12-15 02:16:42 +01:00
parent 7e8e07c1fd
commit cda5496e64
7 changed files with 411 additions and 19 deletions
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6
poller/main.py
View File

@@ -137,7 +137,7 @@ def split_files():
key = row["key"]
with conn.cursor() as cur:
logger.info(f"SPLITTING bucket: {bucket}, key: {key}")
logger.info(f"Splitting bucket: {bucket}, key: {key}")
##### get pdf #####
s3.download_file(bucket, key, "/tmp/file.pdf")
@@ -146,6 +146,10 @@ def split_files():
with open("/tmp/file.pdf", "rb") as f:
reader = PdfReader(f)
# Handle PDFs with permission restrictions (no password, but encrypted)
if reader.is_encrypted:
reader.decrypt("")
for i in range(len(reader.pages)):
writer = PdfWriter()
writer.add_page(reader.pages[i])

1
poller/pyproject.toml
View File

@@ -8,6 +8,7 @@ dependencies = [
"anthropic>=0.52.0",
"boto3>=1.42.4",
"cohere>=5.15.0",
"cryptography>=3.1",
"pgvector>=0.4.1",
"psycopg[binary]>=3.2.9",
"pypdf>=5.5.0",

90
poller/uv.lock generated
View File

@@ -1,6 +1,6 @@
version = 1
revision = 3
requires-python = ">=3.13"
requires-python = "==3.13.*"
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{ name = "pgvector" },
{ name = "psycopg", extra = ["binary"] },
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version = "2.11.5"

1
web/agent/pyproject.toml
View File

@@ -9,6 +9,7 @@ dependencies = [
"pydantic-ai",
"mcp",
"google-genai",
"google-cloud-aiplatform",
"ag-ui-protocol",
"python-dotenv",
"httpx",

11
web/agent/src/agent.py
View File

@@ -8,6 +8,7 @@ import httpx
from pydantic_ai import Agent
from pydantic_ai.models.google import GoogleModel
from pydantic_ai.providers.google import GoogleProvider
# Set up logging based on environment
log_level = logging.DEBUG if os.getenv("DEBUG") else logging.INFO
@@ -74,8 +75,16 @@ def create_agent(user_roles: list[str] | None = None):
else:
logger.info("MCP server unavailable - running without MCP tools")
# Use Vertex AI for higher rate limits (requires GOOGLE_APPLICATION_CREDENTIALS)
provider = GoogleProvider(
vertexai=True,
project=os.getenv("GOOGLE_PROJECT_ID"),
location=os.getenv("GOOGLE_LOCATION", "us-central1"),
)
model = GoogleModel("gemini-2.5-pro", provider=provider)
return Agent(
model=GoogleModel("gemini-2.5-pro"),
model=model,
toolsets=toolsets if toolsets else None,
instructions=AGENT_INSTRUCTIONS,
)

6
web/agent/src/main.py
View File

@@ -19,9 +19,9 @@ logging.basicConfig(
)
logger = logging.getLogger(__name__)
# Validate required environment variables
if not os.getenv("GOOGLE_API_KEY"):
logger.error("GOOGLE_API_KEY environment variable is required")
# Validate required environment variables (either API key or service account)
if not os.getenv("GOOGLE_API_KEY") and not os.getenv("GOOGLE_APPLICATION_CREDENTIALS"):
logger.error("Either GOOGLE_API_KEY or GOOGLE_APPLICATION_CREDENTIALS is required")
sys.exit(1)
import uvicorn

315
web/agent/uv.lock generated
View File

@@ -1,6 +1,10 @@
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revision = 3
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{ name = "httpx" },
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