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- Add C3 connection in container architecture flowchart - Rename "Azure Monitor" to "Application Insights" in telemetry diagram - Add Prometheus as a telemetry sink with implementation details - Document retention policies for Application Insights - Update matrix gateway JSON example with new field names - Fix confidence threshold in matrix-gateway from 0.70 to 0.75 - Update SOP suggestion threshold from 0.78 to 0.8 - Fix code block formatting in multiple files
Add environment input parameter to deploy-environment.yaml workflow to specify GitHub environment, improving deployment control and security. Replace hardcoded environment settings in deploy.yaml with the new parameter. Also fix code fences in documentation to use text format and update various documentation details.
…ttempts and update default value
…ttempts and update default value # Pull Request Checklist ## Summary - What changed? - Why was it needed? ## Validation - [ ] Local checks run (if applicable) - [ ] Relevant workflow/jobs observed ## Deployment Notes - [ ] No environment/config changes required - [ ] Environment/config changes required (describe below) ## UAT Toggle (PRs to `main`) - Add label `run-uat` to this PR to enable UAT deployment (`deploy-uat`). - Remove label `run-uat` to skip UAT deployment. ## Risk / Rollback - Risk level: low / medium / high - Rollback plan:
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📝 WalkthroughWalkthroughUpdates CI/CD workflows to add new inputs, per-job environments, secrets, and TF_VAR mappings (Azure auth, Terraform backend, state/dashboard images, Grafana, EXPECTED_AOAI_ENDPOINT_HOST), renames smoke test wait parameter, and applies related infra and documentation adjustments. Changes
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Actionable comments posted: 2
🧹 Nitpick comments (2)
docs/architecture/reference/matrix-gateway.md (1)
48-49: Document migration impact for renamed response fields.
recommended_tier/cacheablelook consistent here, but this is a contract change for clients. Please add a short migration note (old → new fields, deprecation window/version) in this doc section to reduce integration risk.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/architecture/reference/matrix-gateway.md` around lines 48 - 49, Add a short migration note in the Matrix Gateway reference section describing the rename/contract change for the response fields: explicitly state the old field names (e.g., if any) and the new fields recommended_tier and cacheable, show example mapping (old → new), and declare the deprecation window/version and recommended upgrade steps for clients; update the section near the response schema so consumers know the change, timeline, and how to handle backwards compatibility (e.g., fallback logic or versioned endpoints).docs/architecture/02-container-architecture.md (1)
60-60: Model webhook verification explicitly in the flow.Line 60 introduces direct GitHub Webhook ingress; consider adding a distinct “signature verification/auth” step in the diagram so trust boundaries are explicit.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/architecture/02-container-architecture.md` at line 60, The diagram currently connects C3 directly to G1 via "C3 --> G1"; insert an explicit verification/auth step between them (e.g., create a node like "W_Verify" or "WebhookAuth" and change the flow to "C3 --> WebhookAuth --> G1") and label that node to indicate signature validation/authorization so the trust boundary for GitHub webhook ingress is clear in the diagram and documentation.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In @.github/workflows/deploy-environment.yaml:
- Around line 31-35: Add a missing input declaration for smoke_models_wait_sleep
to the reusable workflow inputs so inputs.smoke_models_wait_sleep is defined;
specifically add an input block named smoke_models_wait_sleep (e.g., required:
false, type: string, default: "10", description: Sleep seconds between model
availability checks) alongside the existing smoke_models_wait_attempts
declaration so callers that pass smoke_models_wait_sleep continue to work.
In `@docs/architecture/04-observability-telemetry.md`:
- Line 79: The description reverses Prometheus' role: update the sentence that
says "The Prometheus exporter exposes a `/metrics` endpoint that scrapes
application metrics" to indicate that Prometheus scrapes the `/metrics` endpoint
(e.g., "The Prometheus exporter exposes a `/metrics` endpoint which is scraped
by Prometheus") and ensure the surrounding text still references
`success_callback`/`failure_callback` containing "prometheus" and the container
config at `infra/modules/aigateway_aca/main.tf:95-113`.
---
Nitpick comments:
In `@docs/architecture/02-container-architecture.md`:
- Line 60: The diagram currently connects C3 directly to G1 via "C3 --> G1";
insert an explicit verification/auth step between them (e.g., create a node like
"W_Verify" or "WebhookAuth" and change the flow to "C3 --> WebhookAuth --> G1")
and label that node to indicate signature validation/authorization so the trust
boundary for GitHub webhook ingress is clear in the diagram and documentation.
In `@docs/architecture/reference/matrix-gateway.md`:
- Around line 48-49: Add a short migration note in the Matrix Gateway reference
section describing the rename/contract change for the response fields:
explicitly state the old field names (e.g., if any) and the new fields
recommended_tier and cacheable, show example mapping (old → new), and declare
the deprecation window/version and recommended upgrade steps for clients; update
the section near the response schema so consumers know the change, timeline, and
how to handle backwards compatibility (e.g., fallback logic or versioned
endpoints).
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📒 Files selected for processing (16)
.github/workflows/deploy-environment.yaml.github/workflows/deploy.yamldocs/architecture/02-container-architecture.mddocs/architecture/04-observability-telemetry.mddocs/architecture/reference/matrix-gateway.mddocs/architecture/reference/matrix-rooivalk.mddocs/architecture/reference/slm-implementation-matrix.mddocs/architecture/reference/slm-management-plan.mddocs/architecture/reference/strategic/07-deployment-model.mddocs/architecture/systems/agentkit-forge.mddocs/architecture/systems/ai-gateway.mddocs/architecture/systems/codeflow-engine.mddocs/architecture/systems/cognitive-mesh.mddocs/architecture/systems/phoenix-rooivalk.mddocs/planning/request_to_token_attribution.mdinfra/modules/aigateway_aca/outputs.tf
- Add new workflow parameter to control sleep between model availability checks - Update container architecture diagram to include Webhook Auth component - Improve Prometheus metrics documentation clarity - Add migration note for Matrix Gateway response contract changes in v1.0.0
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🧹 Nitpick comments (4)
infra/modules/state_service_aca/main.tf (1)
46-52: Consider trimming the secret value for consistency.The
use_shared_tokencheck now correctly usestrimspace()to detect non-empty tokens, but the secret value itself (line 50) still stores the rawvar.state_service_shared_tokenwhich may contain trailing newlines. This could cause authentication mismatches if the consuming service performs a strict comparison.♻️ Proposed fix to trim the secret value
dynamic "secret" { for_each = local.use_shared_token ? [1] : [] content { name = "state-service-shared-token" - value = var.state_service_shared_token + value = trimspace(var.state_service_shared_token) } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@infra/modules/state_service_aca/main.tf` around lines 46 - 52, The secret value in the dynamic "secret" block uses the raw var.state_service_shared_token which may include trailing whitespace/newlines; update the content.value to pass the variable through trimspace (i.e., use trimspace(var.state_service_shared_token)) so the stored secret is normalized, matching the earlier use of trimspace() in local.use_shared_token and avoiding auth mismatches.infra/modules/dashboard_aca/main.tf (1)
37-43: Same concern: trim the secret value for consistency.As noted in
infra/modules/state_service_aca/main.tf, the secret value should also be trimmed to avoid storing whitespace-padded tokens.♻️ Proposed fix to trim the secret value
dynamic "secret" { for_each = local.use_shared_token ? [1] : [] content { name = "state-service-shared-token" - value = var.state_service_shared_token + value = trimspace(var.state_service_shared_token) } }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@infra/modules/dashboard_aca/main.tf` around lines 37 - 43, The dynamic "secret" block that creates the "state-service-shared-token" currently uses value = var.state_service_shared_token and may store whitespace-padded tokens; update the content to use Terraform's trimspace function (value = trimspace(var.state_service_shared_token)) so the stored secret is normalized; this change should be made inside the dynamic "secret" block that is conditional on local.use_shared_token to match the fix in the state_service_aca module..github/workflows/deploy-environment.yaml (2)
109-109: Hardcoded secrets expiration date may require future maintenance.The value
"2027-03-31T00:00:00Z"is hardcoded in the workflow. While currently valid (per the Terraform validation ininfra/env/dev/variables.tf:88-95), this will require a workflow update before March 2027 to avoid deployment failures when the date is no longer in the future.Consider parameterizing this as an input or secret to allow environment-specific configuration without workflow changes.
♻️ Suggested parameterization
+ secrets_expiration_date: + required: false + type: string + default: "2027-03-31T00:00:00Z" + description: Expiration date for Key Vault secrets (ISO-8601 UTC format) ... - TF_VAR_secrets_expiration_date: "2027-03-31T00:00:00Z" + TF_VAR_secrets_expiration_date: ${{ inputs.secrets_expiration_date }}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/workflows/deploy-environment.yaml at line 109, The workflow hardcodes TF_VAR_secrets_expiration_date which will become invalid in 2027; change it to a configurable input or secret so it can be updated without editing the workflow: replace the literal "2027-03-31T00:00:00Z" with a GitHub Actions input (e.g., workflow_dispatch/input) or a repo/organization secret and fall back to a computed value if not provided; update any usages referencing TF_VAR_secrets_expiration_date accordingly so the workflow reads the value from inputs or secrets instead of the hardcoded string.
110-110: Consider pinning dashboard image version in fallback.The fallback
ghcr.io/phoenixvc/ai-gateway-dashboard:latestuses the:latesttag, which can lead to unpredictable behavior if the image changes between deployments. While this is only used whenDASHBOARD_CONTAINER_IMAGEsecret is not configured, consider using a pinned version or SHA digest for reproducibility.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/workflows/deploy-environment.yaml at line 110, The fallback for TF_VAR_dashboard_container_image currently uses the mutable tag ':latest'; update the fallback value used when DASHBOARD_CONTAINER_IMAGE is not provided to a pinned image tag or SHA digest (e.g., replace 'ghcr.io/phoenixvc/ai-gateway-dashboard:latest' with a specific version tag or `@sha256` digest) so deployments are reproducible; modify the TF_VAR_dashboard_container_image assignment in the workflow to reference the pinned tag/digest instead of ':latest' while keeping the secret override via DASHBOARD_CONTAINER_IMAGE.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Nitpick comments:
In @.github/workflows/deploy-environment.yaml:
- Line 109: The workflow hardcodes TF_VAR_secrets_expiration_date which will
become invalid in 2027; change it to a configurable input or secret so it can be
updated without editing the workflow: replace the literal "2027-03-31T00:00:00Z"
with a GitHub Actions input (e.g., workflow_dispatch/input) or a
repo/organization secret and fall back to a computed value if not provided;
update any usages referencing TF_VAR_secrets_expiration_date accordingly so the
workflow reads the value from inputs or secrets instead of the hardcoded string.
- Line 110: The fallback for TF_VAR_dashboard_container_image currently uses the
mutable tag ':latest'; update the fallback value used when
DASHBOARD_CONTAINER_IMAGE is not provided to a pinned image tag or SHA digest
(e.g., replace 'ghcr.io/phoenixvc/ai-gateway-dashboard:latest' with a specific
version tag or `@sha256` digest) so deployments are reproducible; modify the
TF_VAR_dashboard_container_image assignment in the workflow to reference the
pinned tag/digest instead of ':latest' while keeping the secret override via
DASHBOARD_CONTAINER_IMAGE.
In `@infra/modules/dashboard_aca/main.tf`:
- Around line 37-43: The dynamic "secret" block that creates the
"state-service-shared-token" currently uses value =
var.state_service_shared_token and may store whitespace-padded tokens; update
the content to use Terraform's trimspace function (value =
trimspace(var.state_service_shared_token)) so the stored secret is normalized;
this change should be made inside the dynamic "secret" block that is conditional
on local.use_shared_token to match the fix in the state_service_aca module.
In `@infra/modules/state_service_aca/main.tf`:
- Around line 46-52: The secret value in the dynamic "secret" block uses the raw
var.state_service_shared_token which may include trailing whitespace/newlines;
update the content.value to pass the variable through trimspace (i.e., use
trimspace(var.state_service_shared_token)) so the stored secret is normalized,
matching the earlier use of trimspace() in local.use_shared_token and avoiding
auth mismatches.
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📒 Files selected for processing (6)
.github/workflows/deploy-environment.yamldocs/architecture/02-container-architecture.mddocs/architecture/04-observability-telemetry.mddocs/architecture/reference/matrix-gateway.mdinfra/modules/dashboard_aca/main.tfinfra/modules/state_service_aca/main.tf
🚧 Files skipped from review as they are similar to previous changes (2)
- docs/architecture/reference/matrix-gateway.md
- docs/architecture/02-container-architecture.md
Add comprehensive documentation for AI coding agents working in this repository, including: - Project overview and tech stack - Build/lint/test commands for each component - Code style guidelines for Python, JavaScript, and Terraform - Architecture overview and key files - Prerequisites and pre-commit checks
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Actionable comments posted: 2
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@AGENTS.md`:
- Around line 186-197: The fenced code block containing the directory tree
starting with "docs/architecture/" is missing a language identifier and will
fail MD040; edit the block in AGENTS.md that begins with the triple backticks
before "docs/architecture/" and add a language tag (e.g., text) so the fence
reads ```text, leaving the directory content unchanged, then save the file to
satisfy the linter.
- Around line 78-79: The guidance contradicts itself: the sentence "Use absolute
imports within packages" conflicts with the example that uses a relative import
(from .routes import router). Update AGENTS.md so the rule and example
match—either change the rule to recommend relative imports within packages and
keep the example referencing .routes and router, or replace the example with an
absolute import form that references the package-level routes module and router
symbol; ensure the grouping guideline (stdlib → third-party → local) remains
consistent with the chosen import style.
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Actionable comments posted: 1
🧹 Nitpick comments (1)
infra/env/dev/terraform.tfvars (1)
28-28: Avoid using:latesttag for container images in infrastructure code.The
:latesttag is non-deterministic and can lead to unexpected behavior when the image is updated. Consider pinning to a specific version or SHA digest for reproducible deployments.♻️ Suggested improvement
-state_service_container_image = "ghcr.io/phoenixvc/ai-gateway-state-service:latest" +state_service_container_image = "ghcr.io/phoenixvc/ai-gateway-state-service:v1.0.0" # Pin to specific version🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@infra/env/dev/terraform.tfvars` at line 28, The image pinning uses a non-deterministic :latest tag for state_service_container_image; replace the "ghcr.io/phoenixvc/ai-gateway-state-service:latest" value in terraform.tfvars with a specific immutable reference (either a versioned tag like v1.2.3 or a SHA digest e.g. `@sha256`:...) to ensure reproducible deployments and update any deployment automation that consumes state_service_container_image to accept the pinned tag; reference the state_service_container_image variable when making the change.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@infra/env/dev/terraform.tfvars`:
- Around line 29-30: Remove the hardcoded credentials by deleting the
state_service_registry_username and state_service_registry_password assignments
from terraform.tfvars (they are currently set to "phoenixvc" and "ghp_xxx");
rely on the module's conditional auth flag use_registry_auth and supply
credentials at runtime via environment variables (e.g., export
TF_VAR_state_service_registry_username and
TF_VAR_state_service_registry_password in CI/CD) so no secrets are committed to
the repo.
---
Nitpick comments:
In `@infra/env/dev/terraform.tfvars`:
- Line 28: The image pinning uses a non-deterministic :latest tag for
state_service_container_image; replace the
"ghcr.io/phoenixvc/ai-gateway-state-service:latest" value in terraform.tfvars
with a specific immutable reference (either a versioned tag like v1.2.3 or a SHA
digest e.g. `@sha256`:...) to ensure reproducible deployments and update any
deployment automation that consumes state_service_container_image to accept the
pinned tag; reference the state_service_container_image variable when making the
change.
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📒 Files selected for processing (1)
infra/env/dev/terraform.tfvars
| state_service_registry_username = "phoenixvc" | ||
| state_service_registry_password = "ghp_xxx" |
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Remove hardcoded credentials from terraform.tfvars.
The state_service_registry_password value (ghp_xxx) appears to be a GitHub Personal Access Token placeholder. Hardcoding credentials in tfvars files committed to version control is a security risk:
- The pattern may be mistaken for a real (redacted) token
- Developers may replace it with real credentials and accidentally commit
- These variables have defaults of
""and the module gracefully handles empty credentials via conditional logic (use_registry_auth), so they can be safely omitted
Remove these values from the tfvars file and provide them at runtime via CI/CD environment variables (e.g., TF_VAR_state_service_registry_password).
Proposed fix
# State Service
state_service_container_image = "ghcr.io/phoenixvc/ai-gateway-state-service:latest"
-state_service_registry_username = "phoenixvc"
-state_service_registry_password = "ghp_xxx"
+# Registry credentials should be provided via TF_VAR_* environment variables
+# state_service_registry_username = "" # Set via TF_VAR_state_service_registry_username
+# state_service_registry_password = "" # Set via TF_VAR_state_service_registry_password (sensitive)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| state_service_registry_username = "phoenixvc" | |
| state_service_registry_password = "ghp_xxx" | |
| # State Service | |
| state_service_container_image = "ghcr.io/phoenixvc/ai-gateway-state-service:latest" | |
| # Registry credentials should be provided via TF_VAR_* environment variables | |
| # state_service_registry_username = "" # Set via TF_VAR_state_service_registry_username | |
| # state_service_registry_password = "" # Set via TF_VAR_state_service_registry_password (sensitive) |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@infra/env/dev/terraform.tfvars` around lines 29 - 30, Remove the hardcoded
credentials by deleting the state_service_registry_username and
state_service_registry_password assignments from terraform.tfvars (they are
currently set to "phoenixvc" and "ghp_xxx"); rely on the module's conditional
auth flag use_registry_auth and supply credentials at runtime via environment
variables (e.g., export TF_VAR_state_service_registry_username and
TF_VAR_state_service_registry_password in CI/CD) so no secrets are committed to
the repo.
|
@claude help here Verify each finding against the current code and only fix it if needed. Inline comments:
Nitpick comments:
|
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Lead with what sluice is and why it exists (central AI data plane vs scattered direct Azure OpenAI calls) - Document all three components: Gateway, State Service, Dashboard - Add endpoint tables for gateway and state service - Add observability signals table (Prometheus, OTEL, Langfuse, Log Analytics) - Add environment table with default models per env - Move prerequisites to bottom; tighten secrets table - Add architecture ADRs to documentation table - Add retort to ecosystem table Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
There was a problem hiding this comment.
Actionable comments posted: 2
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@README.md`:
- Around line 9-13: The fenced code block in README.md is missing a language tag
(MD040); update the opening fence that currently shows the ASCII diagram (lines
containing "your code → POST /v1/responses ─┐" etc.) to use the "text"
language identifier (i.e., change "```" to "```text") so the diagram remains
readable and linter-clean while leaving the block contents unchanged.
- Line 174: The README and Terraform modules currently require "Terraform >=
1.14.0"; relax this to a lower minimum (e.g., ">= 1.10.0" or ">= 1.8.0") by
updating the README entry and every Terraform block that sets required_version
(look for terraform { required_version = ... } or a required_version setting) in
infra/env/{dev,prod,staging}/main.tf and infra/modules/*/main.tf so the
constraint matches the new minimum and aligns with azurerm provider
compatibility.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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CLAUDE.mdREADME.md
✅ Files skipped from review due to trivial changes (1)
- CLAUDE.md
| ``` | ||
| your code → POST /v1/responses ─┐ | ||
| POST /v1/embeddings ─┤ sluice (LiteLLM) → Azure OpenAI | ||
| GET /metrics ─┘ | ||
| ``` |
There was a problem hiding this comment.
Add a language tag to the fenced code block.
Line 9 opens a fenced block without a language identifier (MD040). Use text to keep the diagram readable and lint-clean.
Proposed fix
-```
+```text
your code → POST /v1/responses ─┐
POST /v1/embeddings ─┤ sluice (LiteLLM) → Azure OpenAI
GET /metrics ─┘</details>
<details>
<summary>🧰 Tools</summary>
<details>
<summary>🪛 markdownlint-cli2 (0.22.0)</summary>
[warning] 9-9: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
</details>
</details>
<details>
<summary>🤖 Prompt for AI Agents</summary>
Verify each finding against the current code and only fix it if needed.
In @README.md around lines 9 - 13, The fenced code block in README.md is missing
a language tag (MD040); update the opening fence that currently shows the ASCII
diagram (lines containing "your code → POST /v1/responses ─┐" etc.) to
use the "text" language identifier (i.e., change "" to "text") so the
diagram remains readable and linter-clean while leaving the block contents
unchanged.
</details>
<!-- fingerprinting:phantom:triton:hawk:c51e79e1-0301-404f-afa3-74b2f26ede7e -->
<!-- This is an auto-generated comment by CodeRabbit -->
| ## Prerequisites | ||
|
|
||
| - [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) — `az login` | ||
| - [Terraform](https://www.terraform.io/downloads) >= 1.14.0 |
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🌐 Web query:
What is the latest stable Terraform version, and are there known features in Terraform 1.14.0 that are required compared with 1.8+ for typical AzureRM workflows?
💡 Result:
The latest stable Terraform version is 1.14.8. Terraform 1.14.0 introduces new features like List Resources (in *.tfquery.hcl files), the 'terraform query' command, GenerateResourceConfiguration RPC for providers during import, and top-level Actions blocks for provider-defined imperative operations outside CRUD. These are minor enhancements and experimental in nature, with no breaking changes affecting compatibility. For typical AzureRM workflows (using resources like azurerm_resource_group, azurerm_virtual_network, azurerm_linux_virtual_machine, etc.), no features from Terraform 1.14.0 are required compared to Terraform 1.8+. The AzureRM provider (latest ~4.66.0) uses the Terraform Plugin Framework and works with Terraform 1.x versions including 1.8+. Provider upgrade guides recommend the latest Terraform but do not mandate 1.14-specific features. Standard CRUD operations, imports, plans, and applies function identically across these versions without needing 1.14-exclusive capabilities.
Citations:
- 1: https://github.com/hashicorp/terraform/releases
- 2: https://developer.hashicorp.com/terraform/install
- 3: https://releases.hashicorp.com/terraform/
- 4: https://github.com/hashicorp/terraform/blob/v1.14.8/CHANGELOG.md
- 5: https://developer.hashicorp.com/terraform/language/upgrade-guides
- 6: https://learn.microsoft.com/en-us/azure/developer/terraform/provider-version-history-azurerm-4-0-0-to-current
- 7: https://releases.hashicorp.com/terraform-provider-azurerm
- 8: https://github.com/terraform-providers/terraform-provider-azurerm
- 9: https://registry.terraform.io/providers/hashicorp/Azurerm/4.64.0/docs/guides/4.0-overview
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Lower the Terraform minimum version constraint to reduce unnecessary friction for contributors.
The infrastructure only uses standard AzureRM resources and providers (azurerm >= 4.62.0, grafana), with no usage of Terraform 1.14+ features (terraform query, Actions blocks, or GenerateResourceConfiguration). The AzureRM provider supports Terraform 1.8+, making the >= 1.14.0 requirement unnecessarily restrictive. Consider relaxing this to >= 1.10.0 or >= 1.8.0 across all terraform modules (infra/env/{dev,prod,staging}/main.tf and infra/modules/*/main.tf) to lower the barrier for contributors.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@README.md` at line 174, The README and Terraform modules currently require
"Terraform >= 1.14.0"; relax this to a lower minimum (e.g., ">= 1.10.0" or ">=
1.8.0") by updating the README entry and every Terraform block that sets
required_version (look for terraform { required_version = ... } or a
required_version setting) in infra/env/{dev,prod,staging}/main.tf and
infra/modules/*/main.tf so the constraint matches the new minimum and aligns
with azurerm provider compatibility.
…uage - Fix 'absolute imports' → 'relative imports' (the example already used relative syntax, the label was wrong) - Add 'text' language identifier to architecture overview code fence Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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