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use openai standard response in arch-fc and in gradio client (#62)
* use openai standard response in arch-fc and in gradio client also fix code bug in usage * fix int test
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6 changed files with 89 additions and 133 deletions
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@ -21,7 +21,7 @@ use public_types::common_types::open_ai::{
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StreamOptions,
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};
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use public_types::common_types::{
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BoltFCResponse, BoltFCToolsCall, EmbeddingType, ToolParameter, ToolParameters, ToolsDefinition,
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BoltFCToolsCall, EmbeddingType, ToolParameter, ToolParameters, ToolsDefinition,
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ZeroShotClassificationRequest, ZeroShotClassificationResponse,
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};
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use public_types::configuration::{Overrides, PromptTarget, PromptType};
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@ -427,9 +427,9 @@ impl StreamContext {
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let body_str = String::from_utf8(body).unwrap();
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debug!("function_resolver response str: {:?}", body_str);
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let mut boltfc_response: BoltFCResponse = serde_json::from_str(&body_str).unwrap();
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let boltfc_response: ChatCompletionsResponse = serde_json::from_str(&body_str).unwrap();
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let boltfc_response_str = boltfc_response.message.content.as_ref().unwrap();
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let boltfc_response_str = boltfc_response.choices[0].message.content.as_ref().unwrap();
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let tools_call_response: BoltFCToolsCall = match serde_json::from_str(boltfc_response_str) {
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Ok(fc_resp) => fc_resp,
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@ -439,7 +439,6 @@ impl StreamContext {
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// Let's send the response back to the user to initalize lightweight dialog for parameter collection
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// add resolver name to the response so the client can send the response back to the correct resolver
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boltfc_response.resolver_name = Some(callout_context.prompt_target_name.unwrap());
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info!("some requred parameters are missing, sending response from Bolt FC back to user for parameter collection: {}", e);
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let bolt_fc_dialogue_message = serde_json::to_string(&boltfc_response).unwrap();
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self.send_http_response(
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@ -826,7 +825,7 @@ impl HttpContext for StreamContext {
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}
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};
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self.response_tokens += chat_completions_response.usage.completions_tokens;
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self.response_tokens += chat_completions_response.usage.completion_tokens;
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}
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debug!(
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