[aw] Smoke Copilot BYOK AOAI (Entra) has no AI credits pricing for model (o4-mini-aw)
I maintainer di solito rispondono entro 1 giorno
Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Idoneità per principianti
- 35/100
- Tipo di issue
- Bug
- Chiarezza
- Abbastanza chiara
- Stato di attività
- Attiva
- Stack tecnologico
- github-actions, typescript, yaml
Direzione di ricerca
Start with the linked Smoke Copilot BYOK AOAI (Entra) workflow and inspect the failed run to confirm how o4-mini-aw is configured and why pricing is unavailable. Check the pricing and model-mapping options described in the issue, then verify the chosen resolution by rerunning the workflow and confirming inference requests succeed.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
Workflow Failure
Workflow: Smoke Copilot BYOK AOAI (Entra)
Branch: copilot/rootless-startup-fix-config-audit
Run: https://github.com/github/gh-aw-firewall/actions/runs/39061401191
Pull Request: #10149
[!WARNING]
Model has no AI credits pricing: The agent failed because modelo4-mini-awis 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:
'o4-mini-aw':
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 o4-mini-aw is an alias for a model already in the built-in pricing table, use the models frontmatter field to provide the mapping:
models:
'o4-mini-aw':
- claude-sonnet-4-5
Option 3 — Switch to a model already in the built-in pricing table:
Replace o4-mini-aw 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 areport_incompletesignal: 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 6 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/github/gh-aw-firewall/actions/runs/39061401191
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.
- Start your agent
- Load the
agentic-workflowsskill from.github/skills/agentic-workflows/SKILL.mdor https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.md - Type
debug the agentic workflow smoke-copilot-byok-aoai-entra failure in https://github.com/github/gh-aw-firewall/actions/runs/39061401191
[!TIP]
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein its frontmatter:safe-outputs: report-failure-as-issue: false
Generated from Smoke Copilot BYOK AOAI (Entra) · ◷
- expires on Oct 24, 2026, 7:23 PM UTC
- Lingua principale
- TypeScript
- Stelle
- 157
- Fork
- 80
- Merge medio
- 4h 34m
- PR unite (30g)
- 395
Preparare l'ambiente
- Nessun Dockerfile né file Docker Compose
- Nessun modello di pull request
- Leggi la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Altre issue di github/gh-aw-firewall
-
agentic-workflows
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 85/100
github/gh-aw-firewall#10895 · 1 commento ·
I maintainer di solito rispondono entro 1 giorno
-
agentic-workflows automated dependencies
Difficoltà 2/5 1-3 ore Idoneità per principianti 68/100
github/gh-aw-firewall#3837 ·
I maintainer di solito rispondono entro 1 giorno
-
[aw] Smoke Claude: timed outApertaagentic-workflows
Difficoltà 3/5 Mezza giornata Idoneità per principianti 20/100
github/gh-aw-firewall#11018 ·
I maintainer di solito rispondono entro 1 giorno
-
agentic-workflows
Difficoltà 3/5 1-2 giorni Idoneità per principianti 28/100
github/gh-aw-firewall#11017 ·
I maintainer di solito rispondono entro 1 giorno
-
agentic-workflows
Difficoltà 4/5 3-5 giorni Idoneità per principianti 18/100
github/gh-aw-firewall#11001 ·
I maintainer di solito rispondono entro 1 giorno
Tutte le issue di github/gh-aw-firewall
Issue simili
-
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 85/100
formbricks/formbricks#9918 ·
I maintainer di solito rispondono entro 1 giorno
-
enhancement
Difficoltà 2/5 1-3 ore Idoneità per principianti 65/100
thecodacus/pithagoras#364 ·
I maintainer di solito rispondono entro 1 giorno
-
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 72/100
openclimatefix/quartz-frontend#823 ·
I maintainer di solito rispondono entro 4 giorni
-
area:agent-manager community needs-triage
Difficoltà 2/5 1-3 ore Idoneità per principianti 76/100
I maintainer di solito rispondono entro 1 giorno
-
`contacts.create` posts to `/audiences/undefined/contacts` when `audienceId` is undefinedForse già presa @RaphaelFakhri l’ha presa oggi. Aperta
Difficoltà 2/5 1-3 ore Idoneità per principianti 70/100
resend/resend-node#1176 ·
I maintainer di solito rispondono entro 1 giorno