fixes azure-firework model output token capping fix - #7142
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📝 SummarySummary by CodeRabbit
WalkthroughThe change maps incomplete Anthropic responses to specific stop reasons, routes unsupported Azure models through chat completions, adds routing and truncation coverage, records a Google accessibility snapshot, and adjusts MCP log spacing. ChangesProvider response routing
Google homepage snapshot
MCP log layout
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant Client
participant AzureResponses
participant ModelCapabilityMetadata
participant ChatCompletion
participant AzureUpstream
Client->>AzureResponses: Send Responses request
AzureResponses->>ModelCapabilityMetadata: Resolve model endpoint support
ModelCapabilityMetadata-->>AzureResponses: Return capability data
AzureResponses->>ChatCompletion: Delegate unsupported model
ChatCompletion->>AzureUpstream: Send chat-completions request
AzureUpstream-->>ChatCompletion: Return response or stream chunks
ChatCompletion-->>AzureResponses: Return Responses-compatible result
AzureResponses-->>Client: Send converted response
Merge Risk: 🟡 Moderate · up to Azure deployments using the fallback with raw-body passthrough enabled can send an incompatible Responses payload to the chat-completions endpoint, causing affected requests to fail. Correct the fallback body handling before merge. 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
Full details: Out of Scope Changes checkExplanation The PR contains changes unrelated to [ Full details: Docstring CoverageExplanation Docstring coverage is 57.14% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 7 functions across 5 files. (2 skipped: 2 unsupported.)
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In `@core/providers/azure/azure.go`:
- Line 547: Before each Azure chat fallback call, disable
BifrostContextKeyUseRawRequestBody in the context and clear RawRequestBody on
the converted ChatRequest from ToChatRequest(). Apply this to both fallback
paths so ChatCompletion receives the converted request body rather than the
copied Responses payload.
In `@ui/app/workspace/mcp-logs/views/mcpLogDetailsSheet.tsx`:
- Line 247: Update the details panel container near the Timings header to use
top padding rather than bottom padding, preserving space between the header and
panel border while avoiding redundant spacing before the tabs.
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📒 Files selected for processing (8)
.playwright-mcp/page-2026-09-14T07-09-24-129Z.yml.playwright-mcp/page-2026-09-14T07-10-48-217Z.ymlcore/providers/anthropic/responses.gocore/providers/anthropic/responses_test.gocore/providers/azure/azure.gocore/providers/azure/azure_test.gotests/e2e/api/collections/provider-harness.jsonui/app/workspace/mcp-logs/views/mcpLogDetailsSheet.tsx
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Summary
Fixes #6782: Azure Foundry deployments of Fireworks-hosted models (e.g.
FW-GLM-5.2) are silently capped at 4096 output tokens on/openai/v1/responsesbecause Microsoft routes those models through chat completions internally. Additionally, when a turn is truncated by the output-token cap on any OpenAI-shaped Responses provider, the Anthropic egress was incorrectly reportingstop_reason: end_turninstead ofstop_reason: max_tokens, hiding the truncation from clients.Changes
Azure provider routing gate: Before calling
/openai/v1/responses, the Azure provider now checks the model's datasheetsupported_endpoints. If/v1/responsesis absent (as it is for Fireworks Foundry catalog models), bothResponsesandResponsesStreamare transparently served through/openai/v1/chat/completions, with the response converted back to the Responses shape. Models with an explicit/v1/responsesentry, or with no datasheet row at all, continue using the Responses route unchanged.Anthropic egress stop reason precedence:
ToAnthropicResponsesResponsenow follows the precedenceStopReason > IncompleteDetails > tool_use inference > end_turn. WhenStopReasonis nil butIncompleteDetails.Reasonis set (the shape produced by OpenAI-shaped providers), the stop reason is derived fromIncompleteDetails(max_output_tokens→max_tokens,content_filter→refusal) rather than defaulting toend_turn.Tests: Added
TestToAnthropicResponsesResponse_IncompleteReportsTruncationStopReasoncovering the four stop-reason precedence cases, andTestAzureResponsesHonoursDatasheetSupportedEndpointswith a fake upstream that pins routing for chat-only rows, rows with/v1/responses, unknown models, and alias-resolved model names.E2E harness: Added collection folder 86 that sends a
max_tokens: 16request through/anthropic/v1/messagesbacked byopenai/gpt-4o-miniand assertsstop_reason: max_tokens.UI: Removed bottom padding duplication in the MCP log detail sheet (
py-4→pb-4).Type of change
Affected areas
How to test
For the E2E harness, import
tests/e2e/api/collections/provider-harness.jsoninto Postman and run folder 86 against a running Bifrost instance with an OpenAI key configured.Screenshots/Recordings
N/A
Breaking changes
Related issues
Closes #6782
Security considerations
No new auth surfaces, secrets, or PII handling introduced.
Checklist
docs/contributing/README.mdand followed the guidelines