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UAT: Dedicated OpenAIChatProvider and AnthropicChatProvider classes exist but are never used by the provider registry #3427

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opened 2026-04-05 16:40:43 +00:00 by freemo · 3 comments
freemo commented 2026-04-05 16:40:43 +00:00
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Metadata

  • Branch: fix/backlog-openai-anthropic-provider-registry-integration
  • Commit Message: fix(providers): wire OpenAIChatProvider and AnthropicChatProvider into ProviderRegistry
  • Milestone: None (Backlog)
  • Parent Epic: #3365

Backlog note: This issue was discovered during autonomous operation
on milestone v3.6.0. It does not block milestone completion and has been
placed in the backlog for human review and future milestone assignment.

Background and Context

The codebase contains dedicated provider classes OpenAIChatProvider (in src/cleveragents/providers/llm/openai_provider.py) and AnthropicChatProvider (in src/cleveragents/providers/llm/anthropic_provider.py). These classes were presumably created to provide provider-specific behaviour and a consistent abstraction layer, consistent with how GoogleChatProvider and OpenRouterChatProvider are implemented and used.

However, ProviderRegistry.create_ai_provider() never instantiates these classes. For OpenAI and Anthropic provider types, execution falls through to the generic LangChainChatProvider factory pattern (lines 650–665 of registry.py). This leaves OpenAIChatProvider and AnthropicChatProvider as dead code in production — they are only referenced in test files.

This creates an architectural inconsistency: Google and OpenRouter have dedicated classes and are wired into the registry, while OpenAI and Anthropic have dedicated classes that are completely bypassed. Additionally, src/cleveragents/providers/llm/__init__.py is empty, meaning nothing is exported from the llm subpackage.

Current Behavior

ProviderRegistry.create_ai_provider() contains special-case handling only for ProviderType.GOOGLE (instantiates GoogleChatProvider) and ProviderType.OPENROUTER (instantiates OpenRouterChatProvider). For all other provider types — including ProviderType.OPENAI and ProviderType.ANTHROPIC — the method falls through to the generic LangChainChatProvider wrapper (lines 650–665).

As a result:

  • OpenAIChatProvider is referenced only in openai_provider.py itself and test files — never in production code.
  • AnthropicChatProvider is referenced only in anthropic_provider.py itself and test files — never in production code.
  • src/cleveragents/providers/llm/__init__.py exports nothing.

Expected Behavior

ProviderRegistry.create_ai_provider() should dispatch to OpenAIChatProvider when the provider type is ProviderType.OPENAI, and to AnthropicChatProvider when the provider type is ProviderType.ANTHROPIC, consistent with how GoogleChatProvider and OpenRouterChatProvider are already used. The llm subpackage __init__.py should export all four dedicated provider classes.

Code Locations

File Issue
src/cleveragents/providers/llm/openai_provider.py OpenAIChatProvider class — dead code in production
src/cleveragents/providers/llm/anthropic_provider.py AnthropicChatProvider class — dead code in production
src/cleveragents/providers/registry.py lines 554–665 create_ai_provider() bypasses dedicated classes for OpenAI and Anthropic
src/cleveragents/providers/llm/__init__.py Empty — no exports from the llm subpackage

Steps to Reproduce

  1. Search the entire codebase for OpenAIChatProvider — found only in openai_provider.py itself and test files, never in production registry code.
  2. Search for AnthropicChatProvider — found only in anthropic_provider.py itself and test files, never in production registry code.
  3. Read ProviderRegistry.create_ai_provider() in registry.py — no reference to either class; both provider types fall through to the generic LangChainChatProvider path.

Subtasks

  • Audit OpenAIChatProvider and AnthropicChatProvider to confirm they are functionally equivalent to (or a superset of) the generic LangChainChatProvider path for their respective provider types
  • Add ProviderType.OPENAI dispatch branch in create_ai_provider() to instantiate OpenAIChatProvider
  • Add ProviderType.ANTHROPIC dispatch branch in create_ai_provider() to instantiate AnthropicChatProvider
  • Update src/cleveragents/providers/llm/__init__.py to export OpenAIChatProvider, AnthropicChatProvider, GoogleChatProvider, and OpenRouterChatProvider
  • Ensure all existing unit and integration tests for OpenAI and Anthropic providers still pass
  • Add/update tests to assert that create_ai_provider() returns an OpenAIChatProvider instance for ProviderType.OPENAI
  • Add/update tests to assert that create_ai_provider() returns an AnthropicChatProvider instance for ProviderType.ANTHROPIC
  • Verify coverage >= 97% via nox -s coverage_report
  • Run nox (all default sessions), fix any errors

Definition of Done

  • All subtasks above are completed and checked off
  • ProviderRegistry.create_ai_provider() dispatches to OpenAIChatProvider for ProviderType.OPENAI and AnthropicChatProvider for ProviderType.ANTHROPIC
  • No dead code remains: both dedicated provider classes are used in production
  • src/cleveragents/providers/llm/__init__.py exports all four dedicated provider classes
  • A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional details
  • The commit is pushed to the remote on the branch matching the Branch in Metadata exactly
  • The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done
  • All nox stages pass
  • Coverage >= 97%

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## Metadata - **Branch**: `fix/backlog-openai-anthropic-provider-registry-integration` - **Commit Message**: `fix(providers): wire OpenAIChatProvider and AnthropicChatProvider into ProviderRegistry` - **Milestone**: None (Backlog) - **Parent Epic**: #3365 > **Backlog note:** This issue was discovered during autonomous operation > on milestone v3.6.0. It does not block milestone completion and has been > placed in the backlog for human review and future milestone assignment. ## Background and Context The codebase contains dedicated provider classes `OpenAIChatProvider` (in `src/cleveragents/providers/llm/openai_provider.py`) and `AnthropicChatProvider` (in `src/cleveragents/providers/llm/anthropic_provider.py`). These classes were presumably created to provide provider-specific behaviour and a consistent abstraction layer, consistent with how `GoogleChatProvider` and `OpenRouterChatProvider` are implemented and used. However, `ProviderRegistry.create_ai_provider()` never instantiates these classes. For OpenAI and Anthropic provider types, execution falls through to the generic `LangChainChatProvider` factory pattern (lines 650–665 of `registry.py`). This leaves `OpenAIChatProvider` and `AnthropicChatProvider` as dead code in production — they are only referenced in test files. This creates an architectural inconsistency: Google and OpenRouter have dedicated classes **and** are wired into the registry, while OpenAI and Anthropic have dedicated classes that are completely bypassed. Additionally, `src/cleveragents/providers/llm/__init__.py` is empty, meaning nothing is exported from the `llm` subpackage. ## Current Behavior `ProviderRegistry.create_ai_provider()` contains special-case handling only for `ProviderType.GOOGLE` (instantiates `GoogleChatProvider`) and `ProviderType.OPENROUTER` (instantiates `OpenRouterChatProvider`). For all other provider types — including `ProviderType.OPENAI` and `ProviderType.ANTHROPIC` — the method falls through to the generic `LangChainChatProvider` wrapper (lines 650–665). As a result: - `OpenAIChatProvider` is referenced only in `openai_provider.py` itself and test files — never in production code. - `AnthropicChatProvider` is referenced only in `anthropic_provider.py` itself and test files — never in production code. - `src/cleveragents/providers/llm/__init__.py` exports nothing. ## Expected Behavior `ProviderRegistry.create_ai_provider()` should dispatch to `OpenAIChatProvider` when the provider type is `ProviderType.OPENAI`, and to `AnthropicChatProvider` when the provider type is `ProviderType.ANTHROPIC`, consistent with how `GoogleChatProvider` and `OpenRouterChatProvider` are already used. The `llm` subpackage `__init__.py` should export all four dedicated provider classes. ## Code Locations | File | Issue | |---|---| | `src/cleveragents/providers/llm/openai_provider.py` | `OpenAIChatProvider` class — dead code in production | | `src/cleveragents/providers/llm/anthropic_provider.py` | `AnthropicChatProvider` class — dead code in production | | `src/cleveragents/providers/registry.py` lines 554–665 | `create_ai_provider()` bypasses dedicated classes for OpenAI and Anthropic | | `src/cleveragents/providers/llm/__init__.py` | Empty — no exports from the `llm` subpackage | ## Steps to Reproduce 1. Search the entire codebase for `OpenAIChatProvider` — found only in `openai_provider.py` itself and test files, never in production registry code. 2. Search for `AnthropicChatProvider` — found only in `anthropic_provider.py` itself and test files, never in production registry code. 3. Read `ProviderRegistry.create_ai_provider()` in `registry.py` — no reference to either class; both provider types fall through to the generic `LangChainChatProvider` path. ## Subtasks - [ ] Audit `OpenAIChatProvider` and `AnthropicChatProvider` to confirm they are functionally equivalent to (or a superset of) the generic `LangChainChatProvider` path for their respective provider types - [ ] Add `ProviderType.OPENAI` dispatch branch in `create_ai_provider()` to instantiate `OpenAIChatProvider` - [ ] Add `ProviderType.ANTHROPIC` dispatch branch in `create_ai_provider()` to instantiate `AnthropicChatProvider` - [ ] Update `src/cleveragents/providers/llm/__init__.py` to export `OpenAIChatProvider`, `AnthropicChatProvider`, `GoogleChatProvider`, and `OpenRouterChatProvider` - [ ] Ensure all existing unit and integration tests for OpenAI and Anthropic providers still pass - [ ] Add/update tests to assert that `create_ai_provider()` returns an `OpenAIChatProvider` instance for `ProviderType.OPENAI` - [ ] Add/update tests to assert that `create_ai_provider()` returns an `AnthropicChatProvider` instance for `ProviderType.ANTHROPIC` - [ ] Verify coverage >= 97% via `nox -s coverage_report` - [ ] Run `nox` (all default sessions), fix any errors ## Definition of Done - [ ] All subtasks above are completed and checked off - [ ] `ProviderRegistry.create_ai_provider()` dispatches to `OpenAIChatProvider` for `ProviderType.OPENAI` and `AnthropicChatProvider` for `ProviderType.ANTHROPIC` - [ ] No dead code remains: both dedicated provider classes are used in production - [ ] `src/cleveragents/providers/llm/__init__.py` exports all four dedicated provider classes - [ ] A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional details - [ ] The commit is pushed to the remote on the branch matching the Branch in Metadata exactly - [ ] The commit is submitted as a pull request to `master`, reviewed, and merged before this issue is marked done - [ ] All nox stages pass - [ ] Coverage >= 97% --- **Automated by CleverAgents Bot** Supervisor: UAT Testing | Agent: ca-uat-tester
freemo commented 2026-04-05 18:01:04 +00:00
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PR #3464 created on branch fix/backlog-openai-anthropic-provider-registry-integration. I will monitor and handle all review feedback until merged.

Implementation summary:

  • Added ProviderType.OPENAI and ProviderType.ANTHROPIC dispatch branches in ProviderRegistry.create_ai_provider() — both now instantiate their dedicated provider classes instead of falling through to the generic LangChainChatProvider path
  • Updated src/cleveragents/providers/llm/__init__.py to export all four dedicated provider classes
  • Updated and added tests in features/provider_registry_coverage.feature and features/steps/provider_registry_steps.py
  • nox -s lint and nox -s typecheck both pass (0 errors)

Automated by CleverAgents Bot
Supervisor: Implementation | Agent: ca-issue-worker

PR #3464 created on branch `fix/backlog-openai-anthropic-provider-registry-integration`. I will monitor and handle all review feedback until merged. **Implementation summary:** - Added `ProviderType.OPENAI` and `ProviderType.ANTHROPIC` dispatch branches in `ProviderRegistry.create_ai_provider()` — both now instantiate their dedicated provider classes instead of falling through to the generic `LangChainChatProvider` path - Updated `src/cleveragents/providers/llm/__init__.py` to export all four dedicated provider classes - Updated and added tests in `features/provider_registry_coverage.feature` and `features/steps/provider_registry_steps.py` - `nox -s lint` and `nox -s typecheck` both pass (0 errors) --- **Automated by CleverAgents Bot** Supervisor: Implementation | Agent: ca-issue-worker
freemo commented 2026-04-05 20:59:05 +00:00
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PR #3464 Status Update

PR #3464 (fix(providers): wire OpenAIChatProvider and AnthropicChatProvider into ProviderRegistry) is ready for merge.

Current Status:

  • ✅ All CI checks passing (coverage, integration tests, e2e tests, docker, status-check)
  • ✅ Type/Bug label assigned
  • ✅ Milestone v3.2.0 assigned
  • ✅ PR is mergeable (no conflicts)
  • ✅ Bot self-review completed — no blocking issues found
  • ⏳ Awaiting human approval to merge

The bot self-reviewer noted the implementation is clean, architecturally consistent, and well-tested. The only items flagged were process metadata (labels/milestone), which have since been addressed.

Awaiting: 1 approval from a human reviewer to proceed with merge.

Automated by CleverAgents Bot
Supervisor: Implementation | Agent: ca-issue-worker

## PR #3464 Status Update PR #3464 (`fix(providers): wire OpenAIChatProvider and AnthropicChatProvider into ProviderRegistry`) is ready for merge. **Current Status:** - ✅ All CI checks passing (coverage, integration tests, e2e tests, docker, status-check) - ✅ `Type/Bug` label assigned - ✅ Milestone `v3.2.0` assigned - ✅ PR is mergeable (no conflicts) - ✅ Bot self-review completed — no blocking issues found - ⏳ Awaiting human approval to merge The bot self-reviewer noted the implementation is clean, architecturally consistent, and well-tested. The only items flagged were process metadata (labels/milestone), which have since been addressed. **Awaiting:** 1 approval from a human reviewer to proceed with merge. --- **Automated by CleverAgents Bot** Supervisor: Implementation | Agent: ca-issue-worker
freemo commented 2026-04-05 21:11:36 +00:00
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✅ PR #3464 Merged Successfully

PR #3464 (fix(providers): wire OpenAIChatProvider and AnthropicChatProvider into ProviderRegistry) has been merged into master.

Merge Details:

  • Merged by: @freemo (Jeffrey Phillips Freeman)
  • Merged at: 2026-04-05T21:07:03Z
  • Merge commit: 2a48c508d6651a30776928a58e4a007a30e2cdca

Summary of what was delivered:

  • OpenAIChatProvider and AnthropicChatProvider are now properly wired into ProviderRegistry.create_ai_provider() — no longer dead code
  • src/cleveragents/providers/llm/__init__.py now exports all 4 dedicated provider classes
  • 3 new BDD test scenarios added (Anthropic dispatch, OpenAI missing-key error, Anthropic missing-key error)
  • 3 existing scenarios updated to reflect the new dispatch behavior
  • All CI checks passed: coverage, integration tests, e2e tests, docker, status-check

This issue is now resolved. 🎉

Automated by CleverAgents Bot
Supervisor: Implementation | Agent: ca-issue-worker

## ✅ PR #3464 Merged Successfully PR #3464 (`fix(providers): wire OpenAIChatProvider and AnthropicChatProvider into ProviderRegistry`) has been merged into `master`. **Merge Details:** - Merged by: @freemo (Jeffrey Phillips Freeman) - Merged at: 2026-04-05T21:07:03Z - Merge commit: `2a48c508d6651a30776928a58e4a007a30e2cdca` **Summary of what was delivered:** - `OpenAIChatProvider` and `AnthropicChatProvider` are now properly wired into `ProviderRegistry.create_ai_provider()` — no longer dead code - `src/cleveragents/providers/llm/__init__.py` now exports all 4 dedicated provider classes - 3 new BDD test scenarios added (Anthropic dispatch, OpenAI missing-key error, Anthropic missing-key error) - 3 existing scenarios updated to reflect the new dispatch behavior - All CI checks passed: coverage, integration tests, e2e tests, docker, status-check This issue is now resolved. 🎉 --- **Automated by CleverAgents Bot** Supervisor: Implementation | Agent: ca-issue-worker
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auto/invariant-violation
Detected master commit violating the strict merge invariant. Tracked as an issue (not a PR label); kept here for label completeness.

  
auto/last-attempt-tier-0
In-cycle escalation: most recent attempt ran at the Tier 0 slot (`tier-0`). Slot's model defined in .opencode/models/tiers.yaml.

  
auto/last-attempt-tier-1
In-cycle escalation: most recent attempt ran at the Tier 1 slot (`tier-1`). Slot's model defined in .opencode/models/tiers.yaml.

  
auto/last-attempt-tier-2
In-cycle escalation: most recent attempt ran at the Tier 2 slot (`tier-2`). Slot's model defined in .opencode/models/tiers.yaml. Gated behind IMPLEMENTER_ESCALATION_TIER2_ENABLED.

  
auto/last-attempt-tier-min
In-cycle escalation: most recent attempt ran at the Tier -1 slot (`tier-min`). Slot's model defined in .opencode/models/tiers.yaml. Suffix is ``-min`` (not ``--1``) so the Forgejo UI reads naturally.

  
Automation Tracking
Tracking issues used by the AI Automation system for agents to communicate and report.

  
auto/needs-conflict-resolution
Rebase conflict needs LLM conflict-resolver.

  
auto/needs-implementer
Failing CI needs implementer attention.

  
auto/postmortem
Documenting a driver incident or rollback.

  
auto/ready-to-merge
Reviewer has APPROVED this PR and no later REQUEST_CHANGES is outstanding. The merge driver requires this label to even consider a PR for merging. Set by the reviewer worker on APPROVE; cleared on REQUEST_CHANGES.

  
auto/restart-throttled
Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.

  
auto/revert
Revert PR backing out an invariant violation. Fast-tracked through the merge driver.

  
auto/sentinel
Sentinel PR duplicated from upstream into a personal fork by tools/duplicate_prs_to_fork.py for pipeline testing. Lives only in the fork; the canonical pipeline never sees it.

  
auto/stale-inactivity
No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.

  
auto/unstable
Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.

  
Blocked
A ticket in a blocked state and unable to complete until some other task is completed first.

  
Bounty
$100
 A bounty of $100 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$1000
 A bounty of $1000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$10000
 A bounty of $10000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$20
 A bounty of $20 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$2000
 A bounty of $2000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$250
 A bounty of $250 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$50
 A bounty of $50 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$500
 A bounty of $500 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$5000
 A bounty of $5000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$750
 A bounty of $750 for any open-source contributor who provides a MR that solves this issue

  
MoSCoW
Could have
 Could have feature in order to satisfy the epic/legendary.

  
MoSCoW
Must have
 Must have feature in order to satisfy the epic/legendary.

  
MoSCoW
Should have
 Should have feature in order to satisfy the epic/legendary.

  
Needs Feedback
There are questions in the ticket that can not be completed until the project owner provides clarity.

  
Points
1
 1 man-hours worth of work for an expert with no learning curve.

  
Points
13
 13 man-hours worth of work for an expert with no learning curve.

  
Points
2
 2 man-hours worth of work for an expert with no learning curve.

  
Points
21
 21 man-hours worth of work for an expert with no learning curve.

  
Points
3
 3 man-hours worth of work for an expert with no learning curve.

  
Points
34
 34 man-hours worth of work for an expert with no learning curve.

  
Points
5
 5 man-hours worth of work for an expert with no learning curve.

  
Points
55
 55 man-hours worth of work for an expert with no learning curve.

  
Points
8
 8 man-hours worth of work for an expert with no learning curve.

  
Points
88
 88 man-hours worth of work for an expert with no learning curve.

  
Priority
Backlog
 This ticket has backlogged priority and is not to be worked on yet

  
Priority
CI Blocker
 Critical priority issue that blocks CI/CD pipeline and prevents PR merges

  
Priority
Critical
 The priority is critical

  
Priority
High
 The priority is high

  
Priority
Low
 The priority is low

  
Priority
Medium
 The priority is medium

  
Signed-off: Owner
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Signed-off: Scrum Master
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Signed-off: Tech Lead
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Spike
A ticket for learning a tool or technology that is needed to be able to do future planning and design.

  
State
Completed
 The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

  
State
Duplicate
 A ticket that represents the same content as an existing ticket.

  
State
In Progress
 A ticket that is actively being developed.

  
State
In Review
 A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

  
State
Paused
 This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

  
State
Unverified
 All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

  
State
Verified
 The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

  
State
Wont Do
 This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

  
Type
Automation
 Any edits or discussion about the AI automated coding system.

  
Type
Bug
 Something that doesnt work as intended.

  
Type
Discussion
 Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

  
Type
Documentation
 An error or improvement needed in the documentation.

  
Type
Epic
 Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

  
Type
Feature
 Some new functionality not present.

  
Type
Legendary
 A type of Epic which will contain other Epics.

  
Type
Refactor
 A code change that restructures existing code without changing its external behavior.

  
Type
Support
 Someone needs help using the project.

  
Type
Task
 A generic task that doesnt fit into the other type categories.

  
Type
Testing
 Work exclusively focusing on fixing or expanding testing.

No labels
auto/needs-reevaluation
controller-managed
auto/blocked-by-deps
auto/ci-timeout
auto/claimed-implementer
auto/claimed-merge
auto/claimed-reviewer
auto/driver-down
auto/invariant-violation
auto/last-attempt-tier-0
auto/last-attempt-tier-1
auto/last-attempt-tier-2
auto/last-attempt-tier-min
Automation Tracking
auto/needs-conflict-resolution
auto/needs-implementer
auto/postmortem
auto/ready-to-merge
auto/restart-throttled
auto/revert
auto/sentinel
auto/stale-inactivity
auto/unstable
Blocked
Bounty
$100
Bounty
$1000
Bounty
$10000
Bounty
$20
Bounty
$2000
Bounty
$250
Bounty
$50
Bounty
$500
Bounty
$5000
Bounty
$750
MoSCoW
Could have
MoSCoW
Must have
MoSCoW
Should have
Needs Feedback
Points
1
Points
13
Points
2
Points
21
Points
3
Points
34
Points
5
Points
55
Points
8
Points
88
Priority
Backlog
Priority
CI Blocker
Priority
Critical
Priority
High
Priority
Low
Priority
Medium
Signed-off: Owner
Signed-off: Scrum Master
Signed-off: Tech Lead
Spike
State
Completed
State
Duplicate
State
In Progress
State
In Review
State
Paused
State
Unverified
State
Verified
State
Wont Do
Type
Automation
Type
Bug
Type
Discussion
Type
Documentation
Type
Epic
Type
Feature
Type
Legendary
Type
Refactor
Type
Support
Type
Task
Type
Testing
Milestone
Clear milestone
No items
No milestone
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
1 participant
Notifications
Due date
The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Blocks
#3365 Epic: Additional LLM Provider Integrations — Cohere, Groq, Together AI, and Provider Abstraction
cleveragents/cleveragents-core
Reference
cleveragents/cleveragents-core#3427
No description provided.