dependencies delete aha_openai_dive,chrono

src/models/deepseek_ocr/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/deepseek_ocr/processor.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use crate::params::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{DType, Device, Tensor};
 

src/models/fun_asr_nano/generate.rs

@@ -1,6 +1,6 @@
 use std::collections::HashMap;
 
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/fun_asr_nano/processor.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use crate::params::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{D, Device, Tensor};
 

src/models/glm_asr_nano/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/glm_asr_nano/processor.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use crate::params::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{D, DType, Device, IndexOp, Tensor};
 

src/models/glm_ocr/generate.rs

@@ -1,5 +1,5 @@
 //! GLM-OCR Inference and Generation
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/hunyuan_ocr/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/hunyuan_ocr/processor.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use crate::params::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{DType, Device, IndexOp, Shape, Tensor};
 use image::DynamicImage;

src/models/lfm2/generate.rs

@@ -1,3 +1,4 @@
+use crate::params::chat::{ChatCompletionParameters, ChatCompletionResponse};
 use crate::utils::build_completion_chunk_response;
 use crate::{
     chat_template::ChatTemplate,
@@ -13,7 +14,6 @@ use crate::{
         build_completion_response, find_type_files, get_device, get_dtype, get_logit_processor,
     },
 };
-use aha_openai_dive::v1::resources::chat::{ChatCompletionParameters, ChatCompletionResponse};
 use anyhow::Result;
 use candle_core::{DType, Device, Tensor};
 use candle_nn::VarBuilder;
@@ -109,10 +109,7 @@ impl<'a> GenerateModel for Lfm2GenerateModel<'a> {
     ) -> Result<
         Box<
             dyn rocket::futures::Stream<
-                    Item = Result<
-                        aha_openai_dive::v1::resources::chat::ChatCompletionChunkResponse,
-                        anyhow::Error,
-                    >,
+                    Item = Result<crate::params::chat::ChatCompletionChunkResponse, anyhow::Error>,
                 > + Send
                 + Unpin
                 + '_,

src/models/lfm2vl/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{ChatCompletionParameters, ChatCompletionResponse};
+use crate::params::chat::{ChatCompletionParameters, ChatCompletionResponse};
 use anyhow::Result;
 use candle_core::{DType, Device, Tensor};
 use candle_nn::VarBuilder;
@@ -119,10 +119,7 @@ impl<'a> GenerateModel for Lfm2VLGenerateModel<'a> {
     ) -> Result<
         Box<
             dyn rocket::futures::Stream<
-                    Item = Result<
-                        aha_openai_dive::v1::resources::chat::ChatCompletionChunkResponse,
-                        anyhow::Error,
-                    >,
+                    Item = Result<crate::params::chat::ChatCompletionChunkResponse, anyhow::Error>,
                 > + Send
                 + Unpin
                 + '_,

src/models/lfm2vl/model.rs

@@ -287,7 +287,6 @@ impl Lfm2VLModel {
             && let Some(shapes) = spatial_shapes
         {
             let image_embeds = self.vision_tower.forward(pixel, mask, shapes)?;
-            println!("image_embeds: {}", image_embeds);
             let bs = image_embeds.dim(0)?;
             let img_featrure_length = mask.sum(1)?.to_vec1::<u32>()?;
             let mut image_features = vec![];
@@ -306,7 +305,6 @@ impl Lfm2VLModel {
                 image_features.push(img_embedding);
             }
             let image_embeds = Tensor::cat(&image_features, 0)?;
-            println!("image_embeds: {}", image_embeds);
             let image_mask = get_equal_mask(input_ids, self.img_id)?;
             inputs_embeds = masked_scatter_dim0(&inputs_embeds, &image_embeds, &image_mask)?;
         }

src/models/lfm2vl/processor.rs

@@ -1,3 +1,4 @@
+use crate::params::chat::ChatCompletionParameters;
 use crate::{
     models::lfm2vl::config::{Lfm2ImageConfig, Lfm2ProcessorConfig},
     utils::{
@@ -8,7 +9,6 @@ use crate::{
         round_by_factor,
     },
 };
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{DType, Device, Tensor};
 use image::DynamicImage;

src/models/minicpm4/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/mod.rs

@@ -22,7 +22,7 @@ pub mod rmbg2_0;
 pub mod voxcpm;
 pub mod w2v_bert_2_0;
 
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/paddleocr_vl/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/paddleocr_vl/processor.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use crate::params::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{DType, Device, IndexOp, Shape, Tensor};
 use image::DynamicImage;

src/models/qwen2_5vl/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/qwen2_5vl/processor.rs

@@ -1,6 +1,6 @@
 use std::collections::HashMap;
 
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionParameters, ChatMessage, ChatMessageContent, ChatMessageContentPart,
 };
 use anyhow::{Result, anyhow};

src/models/qwen3/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/qwen3_5/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/qwen3_asr/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/qwen3_asr/processor.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use crate::params::chat::ChatCompletionParameters;
 use anyhow::Result;
 use candle_core::{Device, Tensor};
 

src/models/qwen3vl/generate.rs

@@ -1,4 +1,4 @@
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Result, anyhow};

src/models/qwen3vl/processor.rs

@@ -1,6 +1,6 @@
 use std::collections::HashMap;
 
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionParameters, ChatMessage, ChatMessageContent, ChatMessageContentPart,
 };
 use anyhow::Result;

src/models/rmbg2_0/generate.rs

@@ -1,6 +1,6 @@
 use std::io::Cursor;
 
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::Result;

src/models/voxcpm/generate.rs

@@ -1,6 +1,6 @@
 use std::collections::HashMap;
 
-use aha_openai_dive::v1::resources::chat::{
+use crate::params::chat::{
     ChatCompletionChunkResponse, ChatCompletionParameters, ChatCompletionResponse,
 };
 use anyhow::{Ok, Result};