✓ PASS

litellm 1.105.5

stream.error-midstream · gemini

Requirements

Id	Level	Status	Evidence
error-reported	MUST	SATISFIED	outcome=raised; error.category="api"; finish.value=null (absent); truth.finish="error"

What the provider sent

Finish

error

Raw finish

null

Text

Octop

Tool calls

[]

Usage

{
  "alternatives": {},
  "cached_input": null,
  "input": 22,
  "output": 2,
  "raw": {
    "candidatesTokenCount": 2,
    "promptTokenCount": 22,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 22
      }
    ],
    "serviceTier": "standard",
    "totalTokenCount": 24
  },
  "reasoning": null,
  "total": 24
}

Stream completed

false

Error

Message: This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.
Status: null
Type: UNAVAILABLE
Code: 503

Wire excerpt

status: 200
content-type: text/event-stream
body (sse):
data: {"candidates": [{"content": {"parts": [{"text": "Octop"}],"role": "model"},"index": 0}],"usageMetadata": {"promptTokenCount": 22,"candidatesTokenCount": 2,"totalTokenCount": 24,"promptTokensDetails": [{"modality": "TEXT","tokenCount": 22}],"serviceTier": "standard"},"modelVersion": "gemini-3.5-flash-lite","responseId": "pgTOaonbKMuV_uMPvK7d4AE"}


data: {"error":{"code":503,"message":"This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.","status":"UNAVAILABLE"}}

What the library reported

Outcome

raised

Finish

{
  "raw": null,
  "source": null,
  "surface": "absent",
  "value": null
}

Text

Value: Octop
Surface: primary

Tool calls

[]

Usage

{
  "cached_input": null,
  "input": null,
  "output": null,
  "reasoning": null,
  "surface": {
    "cached_input": "absent",
    "input": "absent",
    "output": "absent",
    "reasoning": "absent",
    "total": "absent"
  },
  "total": null
}

Stream

{
  "chunks_seen": 1,
  "completed": false,
  "used": true
}

Error

Type: litellm.exceptions.MidStreamFallbackError
Message: litellm.MidStreamFallbackError: litellm.ServiceUnavailableError: Vertex_ai_betaException - UNAVAILABLE - This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later. Original exception: ServiceUnavailableError: litellm.ServiceUnavailableError: Vertex_ai_betaException - UNAVAILABLE - This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.
Category: api
Retry after: null
Stack top: litellm/litellm_core_utils/streaming_handler.py:2318

Unsupported reason

null

Full observation JSON

{
  "elapsed_ms": 361.5959044545889,
  "error": {
    "category": "api",
    "message": "litellm.MidStreamFallbackError: litellm.ServiceUnavailableError: Vertex_ai_betaException - UNAVAILABLE - This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later. Original exception: ServiceUnavailableError: litellm.ServiceUnavailableError: Vertex_ai_betaException - UNAVAILABLE - This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.",
    "retry_after": null,
    "stack_top": "litellm/litellm_core_utils/streaming_handler.py:2318",
    "type": "litellm.exceptions.MidStreamFallbackError"
  },
  "finish": {
    "raw": null,
    "source": null,
    "surface": "absent",
    "value": null
  },
  "format": "wiretruth.observation/v1",
  "library": {
    "api": "litellm.completion",
    "language": "python",
    "name": "litellm",
    "version": "1.105.5"
  },
  "notes": [],
  "outcome": "raised",
  "stream": {
    "chunks_seen": 1,
    "completed": false,
    "used": true
  },
  "structured": {
    "attempted": false,
    "returned_as_success": false,
    "value": null
  },
  "text": {
    "surface": "primary",
    "value": "Octop"
  },
  "tool_calls": [],
  "unsupported_reason": null,
  "usage": {
    "cached_input": null,
    "input": null,
    "output": null,
    "reasoning": null,
    "surface": {
      "cached_input": "absent",
      "input": "absent",
      "output": "absent",
      "reasoning": "absent",
      "total": "absent"
    },
    "total": null
  }
}

Fixture

derived gemini/stream.error-midstream

Provenance	Value
Transform	inject_error_event
Source fixture	gemini/truncation.text-stream
Rationale	The provider reports an error after starting a successful HTTP stream.
Evidence	https://github.com/googleapis/python-genai/blob/main/google/genai/_api_client.py

Reproduce

wiretruth serve gemini/stream.error-midstream

Plain-library snippet from the shim manifest.

litellm.completion(model='gemini/' + model, api_base=WIRETRUTH_BASE_URL_GEMINI + '/v1beta', api_key=WIRETRUTH_API_KEY); the runner supplies the host root and LiteLLM appends /models/...

Upstream

No matching upstream report.

History

Version	Grade
1.105.5	✓ PASS
1.105.1	✓ PASS