Replace /v1/gemini with proper Gemini API paths:
- POST /v1beta/models/{model}:generateContent (sync)
- POST /v1beta/models/{model}:streamGenerateContent (streaming)
Model is extracted from URL path. Uses axum wildcard
catch-all since colons in path segments are not supported.
Move the in-flight blocking check to the top of the LLM request flow,
BEFORE request modification. This catches follow-ups on ALL connections
(the LS opens multiple parallel TLS connections). Only the very first
modified request reaches Google — all others get fake STOP responses.
Previously, each new connection independently allowed one request
through before blocking, letting 4-5 requests leak per turn.
- store.rs: Add tool context storage (active tools, tool config, pending
tool results, call_id mapping, last function calls for history rewrite)
- types.rs: Add tools/tool_choice fields to ResponsesRequest, add
build_function_call_output helper for OpenAI function_call output items
- modify.rs: Replace hardcoded get_weather with dynamic ToolContext
injection. Add openai_tools_to_gemini and openai_tool_choice_to_gemini
converters. Add conversation history rewriting for tool result turns
(replaces fake 'Tool call completed' model turn with real functionCall,
injects functionResponse before last user turn)
- proxy.rs: Build ToolContext from MitmStore before calling modify_request.
Save last_function_calls for history rewriting on subsequent turns
- responses.rs: Store client tools in MitmStore before LS call. Detect
function_call_output in input array for tool result submission. Return
captured functionCalls as OpenAI function_call output items with
generated call_ids and stringified arguments
- gemini.rs: New Gemini-native endpoint (POST /v1/gemini) with zero
format translation. Accepts functionDeclarations directly, returns
functionCall in Gemini format directly
- mod.rs: Wire /v1/gemini route, bump version to 3.3.0
