[aw] Repo Assist has no AI credits pricing for model (gpt-5.6-luna-utility)

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Évaluation

Difficulté
4/5
Temps estimé
3-5 jours
Accessibilité débutants
45/100
Type d'issue
Bug
Clarté
Plutôt claire
Activité
Active
Stack technique
github, github-actions, yaml
Domaine
ci-cd, devops

Piste de recherche

Start by reviewing the linked workflow run and the repo-assist.md workflow frontmatter to confirm which model and provider are configured. Then read the model-pricing guidance in the issue and determine whether this model needs explicit pricing, a mapping, or replacement. Done means the configuration supports the model and a rerun completes successfully.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

agentic-workflows
Workflow Failure

Workflow: Repo Assist
Branch: main
Run: https://github.com/IntelliTect/EssentialCSharp.Web/actions/runs/41011173303

[!WARNING]
Model has no AI credits pricing: The agent failed because model gpt-5.6-luna-utility is not in the built-in pricing table and no default fallback pricing is configured. The AWF API proxy rejected every inference request with HTTP 400.

This is a configuration issue — retrying will not help. The model must have pricing before the workflow can run.

How to fix this

Option 1 — Add pricing in the workflow frontmatter:

models:
  providers:
    github-copilot:
      models:
        'gpt-5.6-luna-utility':
          cost:
            # Placeholder values — replace with actual pricing for this model
            input: "0e0"      # $0.00 per million input tokens
            output: "0e0"     # $0.00 per million output tokens
            cache_read: "0e0"  # $0.00 per million cache-read tokens
            cache_write: "0e0" # $0.00 per million cache-write tokens

Use the provider key matching your engine: github-copilot (Copilot), anthropic (Claude), openai (Codex), or google (Gemini). Only input and output are required; the rest default to zero (or output for reasoning).

Option 2 — Map the model to a known model using the models field:

If gpt-5.6-luna-utility is an alias for a model already in the built-in pricing table, use the models frontmatter field to provide the mapping:

models:
  'gpt-5.6-luna-utility':
    - claude-sonnet-4-5

Option 3 — Switch to a model already in the built-in pricing table:

Replace gpt-5.6-luna-utility in the workflow frontmatter with a model name that the AWF pricing system recognizes (e.g. claude-sonnet-4-5, gpt-4.1, gemini-2.0-flash).

[!WARNING]
Task Could Not Be Completed: The workflow recorded a report_incomplete signal: the task was not completed or completion could not be confirmed.

Error details: 
Failure classification: request_rejection
Driver exit code: 1. The engine driver exited before a terminal safe output was recorded.
Last tool call status: not recorded
Failed tool calls observed: 0
Token budget state: unknown (no exhaustion signal recorded)
Step budget state (LLM invocations): unknown (no exhaustion signal recorded)
Safe-output tools: available at gateway snapshot (registered 12 tools)
Safe-output CLI calls observed: unknown (not recorded)
Safe-output MCP calls observed: 0
Safe-output persistence: not recorded
Engine error: Model has no AI credits pricing (missing_model_pricing_error)
Agent finished without emitting a terminal safe output; task completion could not be confirmed.
Engine HTTP error codes: 400
Last engine error type: missing_model_pricing_error
Retry attempts observed: 0

A comment or other safe output does not confirm that the requested task was completed. Only inferred runtime status and error codes are reported; agent text is excluded.

Failure Diagnostics

Agent job: agent
Agent job conclusion: failure
Failing step: Execute GitHub Copilot CLI

The runtime did not record a specific cause. Check the linked run for failure details.

Only runtime metadata is shown; agent-generated text is excluded.

Action Required

Assign this issue to an agent to debug and fix the issue.

Debug with any coding agent

Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.):

Debug the agentic workflow failure using https://raw.githubusercontent.com/github/gh-aw/main/debug.md

The failed workflow run is at https://github.com/IntelliTect/EssentialCSharp.Web/actions/runs/41011173303
Manually invoke the agent

Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.

[!TIP]

Stop reporting this workflow as a failure

To stop a workflow from creating failure issues, set report-failure-as-issue: false in its frontmatter:

safe-outputs:
  report-failure-as-issue: false

Generated from Repo Assist · ◷

Langage dominant
HTML
Étoiles
8
Forks
8
Merge moyen
7 h 52 min
PR mergées (30 j)
88

Préparer son environnement

Ouvrir dans Codespaces

Lance le conteneur de développement du projet dans votre navigateur, avec votre propre compte GitHub.

Par où commencer

  1. Lisez l'issue en entier, puis le guide de contribution du projet.
  2. Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
  3. Forkez le dépôt et travaillez sur une branche.
  4. Ouvrez une pull request qui référence le numéro de l'issue.

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