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fix: update the blog according to the comments
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@@ -36,10 +36,14 @@ Gemini 3 Flash introduces granular thinking control with `thinkingLevel` instead
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- **MEDIUM**: Balanced thinking for complex reasoning
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- **HIGH**: Maximum reasoning depth
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LiteLLM automatically maps the OpenAI `reasoning_effort` parameter to Gemini's `thinkingLevel`, so you can use familiar `reasoning_effort` values (`minimal`, `low`, `medium`, `high`) without changing your code!
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### 2. Thought Signatures
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Like `gemini-3-pro`, this model also includes thought signatures for tool calls. LiteLLM handles signature extraction and embedding internally. [Learn more about thought signatures](../gemini_3/index.md#thought-signatures).
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**Edge Case Handling**: If thought signatures are missing in the request, LiteLLM adds a dummy signature ensuring the API call doesn't break
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---
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## Supported Endpoints
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@@ -48,7 +52,7 @@ LiteLLM provides **full end-to-end support** for Gemini 3 Flash on:
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- ✅ `/v1/chat/completions` - OpenAI-compatible chat completions endpoint
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- ✅ `/v1/responses` - OpenAI Responses API endpoint (streaming and non-streaming)
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- ✅ [`/v1/messages`](../../docs/anthropic_unified) - Anthropic-compatible messages endpoint
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- ✅ `/v1/generateContent` – [Google Gemini API](https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/gemini#rest) compatible endpoint (for code, see: `client.models.generate_content(...)`)
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- ✅ `/v1/generateContent` – [Google Gemini API](../../docs/generateContent.md) compatible endpoint (for code, see: `client.models.generate_content(...)`)
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All endpoints support:
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- Streaming and non-streaming responses
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