Set up CodSpeed continuous performance measurement

[codspeed-hq]

Summary

This PR finalizes the CodSpeed continuous performance testing setup for redis-om-python.

The repository already contained a pytest-codspeed benchmark suite (tests/test_performance_benchmark.py, 52 benchmarks covering CRUD, queries, pipelines, JSON/Hash models, embedded models, GEO, and full-text search) and a CodSpeed workflow. This change aligns the workflow with CodSpeed's recommended configuration for Python and makes the results discoverable from the README.

Changes

• .github/workflows/codspeed.yml: Switched the CodSpeed instrument from walltime to simulation. The CPU simulation instrument is the recommended mode for Python and provides hardware-agnostic, low-variance measurements ideal for catching regressions in the library's client-side overhead (serialization, query building, response parsing).
• README.md: Added the CodSpeed badge next to the existing status badges.

Configuration details

• Runs on every push to main, on pull requests, and via manual dispatch.
• Authenticates with CodSpeed via OIDC (id-token: write), so no token secret is required.
• Uses CodSpeedHQ/action@v4.
• Spins up a redis:8-alpine service (bundles RediSearch and RedisJSON) so the benchmarks have the modules they require.
• Installs dependencies with uv and generates the sync module via make sync, matching the existing CI.

Validation

The benchmark suite was executed locally with the CodSpeed CLI in simulation mode against a real Redis 8 instance with RediSearch and RedisJSON loaded. Benchmarks ran and uploaded results successfully, confirming the harness and instrumentation work end to end.

Next steps

• Merge this PR so CodSpeed records a baseline from main.
• Subsequent pull requests will get an automatic CodSpeed comment reporting performance changes against that baseline.

[codecov]

Welcome to Codecov 🎉

Once you merge this PR into your default branch, you're all set! Codecov will compare coverage reports and display results in all future pull requests.

Thanks for integrating Codecov - We've got you covered ☂️

[codspeed-hq]

Congrats! CodSpeed is installed 🎉

🆕 53 new benchmarks were detected.

You will start to see performance impacts in the reports once the benchmarks are run from your default branch.

Detected benchmarks

• test_bench_complex_and_or_query: 91.9 ms
• test_bench_json_update: 3.4 ms
• test_bench_geo_json_large_radius: 15.1 ms
• test_bench_hash_all_pks: 64.7 ms
• test_bench_json_all_pks: 77.2 ms
• test_bench_complex_geo_plus_filter: 233.9 ms
• test_bench_complex_negation_query: 199.1 ms
• test_bench_complex_sort_page_filter: 58.4 ms
• test_bench_geo_json_cities: 7.9 ms
• test_bench_geo_json_small_radius: 9.2 ms
• test_bench_hash_bulk_save_200: 58.8 ms
• test_bench_hash_bulk_save_50: 15.4 ms
• test_bench_hash_delete: 1.2 ms
• test_bench_hash_delete_many: 16.2 ms
• test_bench_hash_find_count: 23.3 ms
• test_bench_hash_find_eq: 4.4 ms
• test_bench_hash_find_page: 19.5 ms
• test_bench_hash_find_range: 50.7 ms
• test_bench_hash_find_sort: 130.5 ms
• test_bench_hash_full_model_save_get: 1.7 ms
• ...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

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