Here is the summary of the commit in imperative tone and bullet points:
- Update relay/adaptor/anthropic/adaptor.go to set default values for `anthropic-version` and `anthropic-beta` headers.
- Refine condition for setting `anthropic-beta` header based on specific model types.
The GetAdaptor function in the Adaptor struct has been updated to use the actual model name instead of the origin model name. This change ensures that the correct adaptor is retrieved for processing the response.
* feat: support claude and gemini in vertex ai
* fix: do not show api key field in channel page when the type is VertexAI
* fix: update getToken function to include channelId in cache key
* fix: Support for Spark Lite model
* fix: fix panic
* fix: fix xunfei version config
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Co-authored-by: JustSong <39998050+songquanpeng@users.noreply.github.com>
Co-authored-by: JustSong <songquanpeng@foxmail.com>
* Add prefixes to image models to solve the problem of duplicate models
* Fix the issue that response_format is not set, causing the b64_json parameter to be ignored.
* fix zhipu embedding error when input is array but not string
* fix: only use the first one
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Co-authored-by: 蔡新疆 <cxj@icc.link>
Co-authored-by: JustSong <songquanpeng@foxmail.com>
* feat: support for the ollama vision model
`llava` model, pass test
* Update main.go
format code
* chore: remove useless log
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Co-authored-by: nongqiqin <nongqiqin@tipdm.com>
Co-authored-by: JustSong <songquanpeng@foxmail.com>
* Update model.go
* Support Gemini tool_calls.
* Fix gemini tool calls (also keep support functions).
* Fixed the problem of arguments not being stringified.
Fix panic: candidate.Content.Parts out of range
* feat: support aws bedrockruntime claude3
closes#622, closes#749, closes#1300
* fix: convert to aws claude model id
* fix: Update AWS adapter to handle stream completions and calculate usage metrics
Based on the file summaries provided, here are the important bullet points for the commit message:
- Add functionality to handle stream completion events from AWS in the relay/adaptor/aws/main.go file
- Marshall AWS response to OpenAI format and calculate usage metrics in the same file
- Implement a custom render function for streaming events in the same file
- Improve error handling for JSON unmarshalling and marshalling errors in the same file
* fix: Implement AWS handler with usage tracking and error handling
- Implemented streaming response handling for AWS handler
- Set response content type to text/event-stream
- Added error handling for failed marshaling/unmarshaling
- Updated return values to include `relaymodel.ErrorWithStatusCode` and `relaymodel.Usage`
- Improved error handling and response formatting for AWS adaptor
* fix: Refactor AWS Adapter for Improved Model Mapping and Error Handling
* Refactor AWS adapter to improve model management
- Replace hardcoded model list in `adapter.go` with a function to get models from `awsModelIDMap`
- Update `GetModelList` function to return model list directly
- Add `GetChannelName` function to get channel name from `Adaptor` object
* Improve error handling and code organization in main.go
- Replace switch statement with a map to map AWS model IDs to OpenAI model IDs
- Return an error if the model is not found in the map
- Use a single return statement instead of wrapping multiple return statements in the `awsModelID` function
- Add a new error message for when the model is not found in the map in the `Handler` function
* fix: bug fix
* chore: change variable name & package
* chore: change variable name
* perf: update config related code
---------
Co-authored-by: JustSong <songquanpeng@foxmail.com>
* Refactor AWS adapter to improve model management
- Replace hardcoded model list in `adapter.go` with a function to get models from `awsModelIDMap`
- Update `GetModelList` function to return model list directly
- Add `GetChannelName` function to get channel name from `Adaptor` object
* Improve error handling and code organization in main.go
- Replace switch statement with a map to map AWS model IDs to OpenAI model IDs
- Return an error if the model is not found in the map
- Use a single return statement instead of wrapping multiple return statements in the `awsModelID` function
- Add a new error message for when the model is not found in the map in the `Handler` function
- Implemented streaming response handling for AWS handler
- Set response content type to text/event-stream
- Added error handling for failed marshaling/unmarshaling
- Updated return values to include `relaymodel.ErrorWithStatusCode` and `relaymodel.Usage`
- Improved error handling and response formatting for AWS adaptor
Based on the file summaries provided, here are the important bullet points for the commit message:
- Add functionality to handle stream completion events from AWS in the relay/adaptor/aws/main.go file
- Marshall AWS response to OpenAI format and calculate usage metrics in the same file
- Implement a custom render function for streaming events in the same file
- Improve error handling for JSON unmarshalling and marshalling errors in the same file
- Updated context key for model name in `Handler` and `StreamHandler` functions of `main.go` for consistency and potential future usage
- Functionality remains unchanged in this commit
- Refactor constant definitions and organization
- Clean up package level variables and functions
- Introduce new `relaymode` and `apitype` packages for constant definitions
- Refactor and simplify code in several packages including `openai`, `relay/channel/baidu`, `relay/util`, `relay/controller`, `relay/channeltype`
- Add helper functions in `relay/channeltype` package to convert channel type constants to corresponding API type constants
- Remove deprecated functions such as `ResponseText2Usage` from `relay/channel/openai/helper.go`
- Modify code in `relay/util/validation.go` and related files to use new `validator.ValidateTextRequest` function
- Rename `util` package to `relaymode` and update related imports in several packages
* Fix ali ConvertRequest function to use baidu keyword
* Support Ali stable-diffusion-xl and wanx-v1 model
* Support Ali stable-diffusion-xl and wanx-v1 model
* Support Ali stable-diffusion-xl and wanx-v1 model
* chore: update ali constants and model ratio
---------
Co-authored-by: JustSong <songquanpeng@foxmail.com>
Co-authored-by: JustSong <39998050+songquanpeng@users.noreply.github.com>
* Updated relay/channel/gemini package to use gin-gonic/gin for routing
* Added timeouts, environment variable for proxy, and error handling for HTTP clients in relay/util/init.go
* Improved error handling, URL path cases, and channel selection logic in middleware/distributor.go
* Added Content-Type header, closed request bodies, and added context to requests in relay/channel/common.go
* Upgraded various dependencies in go.mod
* Modified the GetRequestURL method in relay/channel/gemini/adaptor.go to include a "key" parameter in the URL and set a default version of "v1beta"
* Added io and net/http packages in relay/channel/gemini/adaptor.go and relay/channel/gemini/main.go
* Added a struct for GeminiStreamResp and modified response handling in relay/channel/gemini/main.go
* Imported packages for io and net/http added, gin-gonic/gin package added, and error handling improved in relay/channel/gemini/main.go
- Refactor error handling using `errors/v2` package for improved error management and formatting
- Implement changes in relay/controller/text.go, controller/channel-test.go, controller/relay.go, common/message/email.go, relay/controller/audio.go, controller/channel-billing.go, relay/controller/helper.go, relay/channel/common.go, relay/channel/minimax/main.go, and common/message/main.go
- Add package imports and update package paths for better code organization
- Replace hardcoded strings with error variables for consistency and readability
- Implement secure methods for generating unique Message-ID
- Improve SMTP handling and authentication in email.go
- Update response handling and error messages for better user experience
- Add constant checks and modify functions based on imageRequest parameters in helper.go
- Use `http.NewRequest` instead of `fmt.Fprint` for improved request handling in relay/channel/common.go
- Update error handling and formatting for better consistency across all files
- Updated error handling across multiple files with `Laisky/errors/v2` package
- Replaced hardcoded error messages with `Laisky/errors` in relay/channel/tencent/adaptor.go
- Added a function to check if a request should be retried in relay/controller/relay.go
- Removed unused imports and variables, and updated comments in various files
- Changed Redis cache handling in model/cache.go
- Refactored error handling in relay/channel/tencent/main.go and relay/channel/baidu/main.go
- Updated import paths and error handling in model/user.go, model/redemption.go, and controller/github.go
- Added import for tiktoken-go package in relay/channel/openai/token.go
- Added GetSign and ParseConfig functions in relay/channel/tencent/main.go
- Replaced specific error imports with a more general one in relay/channel/ali/adaptor.go
- Updated import comments and function calls in relay/channel/ali/adaptor.go
- Added checks and custom error messages in model/token.go
- Removed unused functions and variables in relay/channel/baidu/adaptor.go
- Imported "github.com/Laisky/errors/v2" package in controller/channel-billing.go
- Removed unused import packages in [relay/channel/tencent/adaptor.go](http://relay/channel/tencent/adaptor.go) and relay/channel/palm/adaptor.go
- Updated go.mod and go.sum files with new dependencies and versions
- Introduced idle connection timeout for HTTP client transport
- Implemented custom timeout for HTTP client when `RelayTimeout` is 0
- Set ImpatientHTTPClient timeout to 5 seconds
- Added new config variable `IdleTimeout` with default value of 30 seconds
- Utilized shared transport object for all HTTP clients in relay/util package
- Implemented error messages with request details and request parameter validation for image requests
- Added URL logic and Azure channel support for image generation requests
- Integrated quota management and updated quota usage logging for image generation requests
- Mapped original model names to mapped model names and unmarshalled image responses into a struct for further processing
- Modify `PostConsumeQuota` function in `common.go` to check if `totalQuota` is less than 0 and add error logging
- Update log content in `RecordConsumeLog` function of `common.go` to include model ratio and group ratio
- Change the method of calculating user used quota and request count in `UpdateUserUsedQuotaAndRequestCount` function of `common.go`
- Implement calculation of `completionRatio` and update `quota` calculation based on `completionRatio` in `postConsumeQuota` function of `helper.go`
- Implement error handling for `model.PostConsumeTokenQuota` and `model.CacheUpdateUserQuota` in `helper.go`
- Update `UserUsedQuota` and `ChannelUsedQuota` with new `quota` value in `helper.go`
- Move `scanner.Split` instantiation to a new function
- Introduce a new regular expression to extract data from the response
- Utilize regular expressions to pre-process the event stream
- Refactor content response
- Update channel adaptor to support `claude_model`
- Remove `null` stop reasons from content responses
- Add logging for error responses
- Change content start, ping, and message delta types to return true
- Set stop reason to end turn when response does not include a stop reason
- Set content response stop reason to null
- Add error handling for unmarshalling stream responses
- Rename `Completion` to `Text` in type definitions and `StopReason` to `Delta.StopReason`
- Count tokens in the `Delta.Text` field of the response instead of `Completion`
- Remove `Model` from the full text response
- Trim \r from incoming data
- Refactor Anthropic adapter to work with the new Anthropic API and model requests
- Remove the default value for `MaxTokensToSample`
- Set `MaxTokens` to 500 instead of 1000000
- Use `system` messages as the system prompt instead of the first message
- Rewrite model name for relay text
- Simplify logic and move logging statements
- Remove a check that filtered out models by model-mapping
- Remove abilities for the model mapping
- Lower numeric tolerance for test files
