Documentation Update and Docker fix

[sbaidachni]

All services are working using User-assigned managed identity.
A separate identity for GitHub has been introduced
Documentation has been updated
All pipelines are utilizing docker containers now
Updated parameters (including AI Foundry new uri notation)
Workflows validated for flex plan as well (with no slot support)
Images and references has been updated

[sbaidachni]

@copilot You need to fix this: ./src/custom_skills/VectorEmbed/init.py:17:121: E501 line too long (128 > 120 characters)
1 E501 line too long (128 > 120 characters)
1

[Copilot]

@sbaidachni I've opened a new pull request, #97, to work on those changes. Once the pull request is ready, I'll request review from you.

[github-actions]

Search Evaluation Results

Metric	Value
AveragePrecision.average_precision	0.0
F1-score@10.f1_score_at_10	0.0
F1-score@3.f1_score_at_3	0.0
F1-score@5.f1_score_at_5	0.0
Precision@10.precision_at_10	0.0
Precision@3.precision_at_3	0.0
Precision@5.precision_at_5	0.0
Recall@10.recall_at_10	0.0
Recall@3.recall_at_3	0.0
Recall@5.recall_at_5	0.0
ReciprocalRank.reciprocal_rank	0.0

[sbaidachni]

@copilot code review[agent] All the suggestions have been implemented. Please, review and approve

[Copilot]

@sbaidachni I've opened a new pull request, #98, to work on those changes. Once the pull request is ready, I'll request review from you.

[Copilot]

Pull request overview

Copilot reviewed 23 out of 25 changed files in this pull request and generated 2 comments.

Comments suppressed due to low confidence (1)

mlops/evaluation/search_evaluation.py:35

• project_name is read from AI_FOUNDRY_PROJECT_URI and then passed into evaluate(...) as azure_ai_project. If the env var is unset, this will be None and will likely fail downstream with a less clear error. Add an explicit validation (and a helpful error message) before calling evaluate.

    project_name = os.environ.get("AI_FOUNDRY_PROJECT_URI")
    azure_search_service_name = os.environ.get("ACS_SERVICE_NAME")
    azure_search_endpoint = f"https://{azure_search_service_name}.search.windows.net"

    print(f"Running evaluation for index: {index_name}")
    print(f"Azure Search Endpoint {azure_search_endpoint}")
    print(f"Project Name {project_name}")

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[sbaidachni]

@copilot Implement two proposed changes as a single PR

[Copilot]

@sbaidachni I've opened a new pull request, #99, to work on those changes. Once the pull request is ready, I'll request review from you.

[Copilot]

Pull request overview

Copilot reviewed 23 out of 25 changed files in this pull request and generated 2 comments.

---

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[github-actions]

Search Evaluation Results

Metric	Value
AveragePrecision.average_precision	0.0
F1-score@10.f1_score_at_10	0.0
F1-score@3.f1_score_at_3	0.0
F1-score@5.f1_score_at_5	0.0
Precision@10.precision_at_10	0.0
Precision@3.precision_at_3	0.0
Precision@5.precision_at_5	0.0
Recall@10.recall_at_10	0.0
Recall@3.recall_at_3	0.0
Recall@5.recall_at_5	0.0
ReciprocalRank.reciprocal_rank	0.0

[radiant-tangent]

👍

[anastasiyagromova]

Approved.