George WealeandCopybara-Service 2b64715505 fix: Handle string function responses in LiteLLM conversion ...

When converting `types.Content` with a `function_response` to LiteLLM's `ChatCompletionToolMessage`, if the response is already a string, use it directly. Otherwise, serialize the response to JSON. This prevents double-serialization of string payloads

Close #3676

Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 840013822

2025-12-03 19:17:16 -08:00

..

__init__.py

Support async agent and model callbacks

2025-05-06 15:14:10 -07:00

test_anthropic_llm.py

fix: Refactor Anthropic integration to support both direct API and Vertex AI

2025-12-01 11:04:51 -08:00

test_apigee_llm.py

chore: Defer import of live, Client and _transformers in google.genai

2025-11-12 10:27:56 -08:00

test_cache_metadata.py

fix: Create context cache only when prefix matches with previous request

2025-10-09 21:19:28 -07:00

test_gemini_llm_connection.py

fix: Flush pending transcriptions on turn/generation complete or interrupt for Gemini API

2025-12-01 18:09:29 -08:00

test_gemma_llm.py

feat: Add Gemma3Ollama model integration and a sample

2025-12-03 18:27:07 -08:00

test_google_llm.py

chore: Adding Eval Client label to model calls made during evals

2025-12-01 11:20:46 -08:00

test_litellm.py

fix: Handle string function responses in LiteLLM conversion

2025-12-03 19:17:16 -08:00

test_llm_request.py

feat: Support non-text content in static instruction

2025-09-23 15:36:15 -07:00

test_llm_response.py

chore: Add model tracking to LiteLlm and introduce a LiteLLM with fallbacks demo

2025-11-04 10:10:09 -08:00

test_models.py

feat(models): Enable multi-provider support for Claude and LiteLLM

2025-11-25 09:46:44 -08:00