migrate economic-research-agent to contrib/python and align with adk-recipes schema - #2373
migrate economic-research-agent to contrib/python and align with adk-recipes schema#2373enriquekalven wants to merge 3 commits into
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| "remote_agent_runtime_id": "projects/697625214430/locations/us-east1/reasoningEngines/3370909136714727424", | |||
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Real project ID is committed here.
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Replaced real project number with the standard placeholder (projects/YOUR_PROJECT_ID/locations/us-east1/reasoningEngines/YOUR_REASONING_ENGINE_ID).
| load_dotenv(env_path) | ||
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| if not os.getenv("GOOGLE_CLOUD_PROJECT"): | ||
| os.environ["GOOGLE_CLOUD_PROJECT"] = os.getenv("PROJECT_ID", "project-maui") |
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hardcoded project name here
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Removed hardcoded "project-maui" fallback across real_estate_advisor.py, universal_whitepaper_orchestrator.py, and workforce_exposure_skill.py. It now reads cleanly from os.getenv("GOOGLE_CLOUD_PROJECT").
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| echo "🚀 Executing Agent Runtime deployment..." | ||
| echo "Command: $DEPLOY_CMD" |
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Does $DEPLOY_CMD still have the key values in it at this point?
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Good call! Updated deploy.sh to sanitize $DEPLOY_CMD before logging, masking API key values ([REDACTED]) in terminal and CI logs while passing the full command to eval.
| primitives = json.loads(cleaned_eval) | ||
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| # Write to a session metadata log file | ||
| log_dir = "/Users/enriq/.gemini/jetski/scratch/observability" |
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This looks like a local path from someone's machine — should it be configurable?
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Great catch! Updated to os.getenv("OBSERVABILITY_LOG_DIR", os.path.join(tempfile.gettempdir(), "observability")) so it uses system temp directory by default and remains fully configurable via environment variable. Added OBSERVABILITY_LOG_DIR to .env.example as well.
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| # Copyright 2026 Google LLC | |||
| # Licensed under the Apache License, Version 2.0 (the "License"); | |||
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the licence header stops mid-sentence. I suggest cleaning up all the headers in a more consistent form. You may borrow from other existing recipes under core/ if you wish.
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Standardized full Apache 2.0 license headers across all Python source files in the recipe.
| import google.auth | ||
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| # Deployed Agent Engine ID | ||
| REMOTE_ENGINE_ID = "https://us-east1-aiplatform.googleapis.com/v1beta1/projects/697625214430/locations/us-east1/reasoningEngines/8517890192101605376" |
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Should this endpoint come from an env var rather than being pinned here? It also has hardcoded project and other things. Please clean up.
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Updated REMOTE_ENGINE_ID to read from os.getenv("REMOTE_ENGINE_ID", "projects/YOUR_PROJECT_ID/...") and replaced the fallback project string with "your-project-id".
| sim_queries.append(txt) | ||
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| # Fallback to make sure we have 100 | ||
| while len(sim_queries) < 100: |
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The padding appends the same query over and over, but the banner below calls them unique. Which is right?
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Fixed the padding logic and logging! Added dynamic year indexing (f"What is the unemployment rate in Austin for year {2020 + i}?") so padded queries remain unique, and updated the startup message to output Prepared 100 simulation queries (100 unique).
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Is there a reason to keep this file and the folders containing it?
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Removed! Standard Python ignores (.venv, __pycache__, .env, etc.) are handled globally by the repository root .gitignore, so the redundant standalone contrib/python/economic-research-agent/.gitignore file has been deleted.
| - US Census Bureau API | ||
| - RentCast API | ||
| ownership: | ||
| team: ADK Samples Team |
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Is this a real team?? This should ideally be the team that officially owns the sample and responsible for ongoing maintenance, specially if POC leaves the team one day.
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Updated! Set ownership.team to the official team: Delta AI Activation Team AMER <delta-ai-activation-team-AMER@google.com>.
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| # Copyright 2025 Google LLC. This software is provided as-is, without warranty or representation. | |||
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Please be consistent regarding all the headers in all the python files.
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Updated! Standardized full Apache 2.0 license headers across all Python source files in the recipe, and cleaned up duplicate or inconsistent inline copyright comments.
| """Standard container for the Reasoning Engine. State-free to ensure cloud pickling stability.""" | ||
| pass | ||
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| def get_app(self, model_name: str = "gemini-2.5-flash") -> App: |
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These should be gemini-3.5-flash — it's used in a few other places in the recipe too.
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I have updated .env.example, agent.py, and all log strings to use gemini-3.6-flash and gemini-3.1-pro.
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Heads up — I think a few of these will fail the recipe validation workflow:
Also, (edited: my earlier version said |
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Several github workflows are failing. Please fix them before another round of review. |
Great catch! I've aligned the recipe with
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All GitHub CI workflows and recipe validation checks have been resolved! Here is a summary of the updates:
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…ject and sanitize secrets - Sanitize GCP project numbers and reasoning engine IDs in metadata and simulation scripts - Mask secret API keys in deploy.sh output - Align pyproject.toml name, Python floor (>=3.11), and remove local ruff tables - Centralize load_dotenv() in economic_research/__init__.py and populate .env.example - Set team ownership in manifest.yaml - Update model defaults to gemini-3.6-flash and gemini-3.1-pro - Standardize Apache 2.0 license headers across recipe source files - Fix API parameters in real_estate_skill, utility_logistics_skill, and eia_skill
Overview
Migrates and modernizes the Economic Research Agent (ERA) to align with the new
adk-recipesrepository structure and governance standards.This update moves the recipe to
contrib/python/economic-research-agent/, adds mandatory schema metadata, installs the automated runnability test suite, and cleans up legacy evaluation artifacts.Key Changes
python/agents/economic-research-agent/tocontrib/python/economic-research-agent/.manifest.yamladhering to.github/schemas/manifest-schema.jsonwithtype: standalone,deployable: true, andlarge: truetier flags.tests/test_runnability.pyverifying credential-mocked import and initialization ofroot_agentandERAAgent..adk/eval_historylogs and converted documentation diagrams to.webp, bringing clean footprint to ~1.8 MB.experiments/evolve_universal_prompts/hill-climbing harness and verified the Vertex AI Evaluation SDK evaluator test suite.Quality Gates & Verification
uv run validate): 100% PASS[PASS]Manifest validation[PASS]Structure validation[PASS]README validation[PASS]Placement validationuv run pytest): 35/35 PASSED (100% pass rate).