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HNTAI / services /ai-service

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History: 170 commits

sachinchandrankallar's picture

sachinchandrankallar

Merge branch 'FT-DEV-20/01/2026'

3e3e71c 5 months ago

.deepeval
changes for publishing the latest including generate_generic api 6 months ago
k8s
changes for publishing the latest including generate_generic api 6 months ago
src
Merge branch 'FT-DEV-20/01/2026' 5 months ago
tests
Revert "refactor(ai-service): optimize prompts, token counting, and benchmarking - Externalize system prompts to text files for better maintainability. - Integrate tiktoken for faster and more accurate token counting. - Refactor BenchmarkLogger to use asynchronous logging for zero latency impact. - Improve prompt echo removal logic with more robust markers. - Add specialized system instruction for medical document processing. - Update test expectations to reflect precise token counting." 5 months ago
Dockerfile.prod

806 Bytes
changes for publishing the latest including generate_generic api 6 months ago
README.md

5.82 kB
changes for publishing the latest including generate_generic api 6 months ago
debug_schema.py

706 Bytes
changes for publishing the latest including generate_generic api 6 months ago
docker-compose.yml

846 Bytes
changes for publishing the latest including generate_generic api 6 months ago
test_cleanup_verification.py

8.2 kB
changes for publishing the latest including generate_generic api 6 months ago
test_error_diagnostics.py

4.04 kB
changes for publishing the latest including generate_generic api 6 months ago
test_gguf_loading.py

1.93 kB
changes for publishing the latest including generate_generic api 6 months ago
test_job_cleanup_demo.py

5.22 kB
changes for publishing the latest including generate_generic api 6 months ago
test_phi35_token_limits.py

1.7 kB
changes for publishing the latest including generate_generic api 6 months ago
test_slot_release.py

8.3 kB
changes for publishing the latest including generate_generic api 6 months ago
test_token_limits.py

5.07 kB
Revert "refactor(ai-service): optimize prompts, token counting, and benchmarking - Externalize system prompts to text files for better maintainability. - Integrate tiktoken for faster and more accurate token counting. - Refactor BenchmarkLogger to use asynchronous logging for zero latency impact. - Improve prompt echo removal logic with more robust markers. - Add specialized system instruction for medical document processing. - Update test expectations to reflect precise token counting." 5 months ago
verify_fix_standalone.py

1.72 kB
changes for publishing the latest including generate_generic api 6 months ago
verify_generic_gen.py

997 Bytes
changes for publishing the latest including generate_generic api 6 months ago
verify_generic_sse.py

1.26 kB
changes for publishing the latest including generate_generic api 6 months ago