chore: update all examples to use v0.1.14-pre.4
- Remove replace directives from 5 examples that had local path references
- Update all 75 example go.mod files to use the latest pre-release version
- Ensures examples work correctly for users who clone the repository
Update all example project go.mod files to reference v0.1.14-pre.3
instead of v0.1.14-pre.2. This ensures examples use the latest pre-release
version with recent fixes and improvements.
Update all example project go.mod files to reference v0.1.14-pre.2
instead of v0.1.14-pre.1. This ensures examples use the latest pre-release
version with recent fixes and improvements.
* build: add examples-updater tool and update examples to v0.1.14-pre.1
Add a new tool to automate updating langchaingo version references in example
projects and use it to update all examples to v0.1.14-pre.1. The tool also
removes temporary replace directives that are no longer needed.
- Add update-examples Makefile target that runs the new tool
- Create internal/devtools/examples-updater implementation
- Update all example go.mod files to reference v0.1.14-pre.1
- Remove replace directives in googleai and vertex examples
- Update dependencies in main go.mod/go.sum
* httprr: improve header normalization and test container setup
Add header normalization to make HTTP recordings more stable:
- Add normalizeGoogleAPIClientHeader and normalizeVersionHeader functions
- Normalize User-Agent, x-goog-api-client and other version headers
- Remove OpenAI-Project header for consistency
- Preserve body for both replay lookup and recording
- Add comprehensive tests for header normalization
Improve testcontainer environment detection:
- Better handling of non-standard Docker socket paths
- Disable Ryuk reaper by default for resource efficiency
- Add verbose logging option via environment variable
* httputil: add ApiKeyTransport for query parameter API keys
Add a reusable ApiKeyTransport that adds API keys to URL query parameters:
- Create ApiKeyTransport implementation in httputil package
- Add comprehensive tests for the new transport
- Refactor googleai_test.go to use the shared transport
- Update chains/llm_test.go to use ApiKeyTransport with proper key scrubbing
This improves how API keys are handled with client libraries that don't
properly set keys when using custom HTTP clients, particularly useful
with httprr for testing Google API integrations.
* openai: remove duplicate MaxTokens field assignment
Remove redundant assignment where both MaxTokens and MaxCompletionTokens
were being set to the same value. MaxCompletionTokens is the preferred
field name that reflects OpenAI's API changes, while MaxTokens was
previously kept for backward compatibility.
* vectorstores/maridadb: add test infrastructure for MariaDB vectorstore
Add TestMain function for MariaDB vectorstore tests that ensures the proper
test environment is set up using the testctr package. This enables consistent
test container setup and teardown for MariaDB integration tests.
* all: normalize all httprr recordings for consistency
Update test recordings across all packages to use normalized headers:
- Standardize User-Agent to 'langchaingo-httprr'
- Normalize version information in x-goog-api-client headers
- Remove OpenAI-Project headers for consistency
- Fix deprecated Anthropic completion API tests
- Update HuggingFace test recordings with valid responses
These changes make test recordings stable across dependency updates
and different environments, preventing test failures from version changes.
* devtools: add utility tool for normalizing httprr test recordings
Add a command-line tool that standardizes version information in httprr recordings:
- Normalizes x-goog-api-client headers to use placeholder versions
- Standardizes x-amz-user-agent headers for consistency
- Replaces Go version strings with generic placeholders
- Supports dry-run mode to preview changes without modifying files
- Includes verbose output option for detailed change reporting
This tool helps maintain consistent test recordings across different environments
and dependency versions, preventing test failures from version changes.
* llms/openai: update OpenAI embedding test to use text-embedding-3-small model
Update the embedding test to use the current text-embedding-3-small model:
- Change model from text-embedding-ada-002 to text-embedding-3-small
- Adjust dimensions parameter from 1234 to 256 to match model capabilities
- Update test recording with appropriate response data
This change ensures tests remain compatible with OpenAI's current embedding
models and prevents test failures from API version changes.
* examples: update examples, clean up module declarations
- Fix and relax lint rules (for now)
- Clean up and fix module declarations
- Add .gitattributes to mark go.sum as binary
* ci: separate and enhance CI workflows
- Split example builds into dedicated workflow
- Add comprehensive test coverage reporting
- Improve CI structure with matrix testing
- Add race condition testing
- Add automated PR coverage comments
* test: improve test reliability and agent message handling
- Simplify MRKL agent test to use basic math calculation
- Update OpenAI functions agent to use ToolChatMessage
- Add proper environment checks for Zep integration tests
* agents: fix issue in tool call handling for openai function agent
The current code does not specify an embedding model when instantiating the Language Model (LLM), resulting in the API returning an unexpected status code: 400 - "you must provide a model parameter." This can lead to unexpected behavior or errors. The proposed change adds a line to specify the embedding model, ensuring the code runs correctly and aligns with best practices.
* Add ids to the return when adding documents in any vectorstore
* fixes lint checks
* examples: Point vectorstore examples to branch
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Co-authored-by: Travis Cline <travis.cline@gmail.com>
This is the first use of the refactoring made in #374 -- removing the
embeddings/openai directory entirely, since it can be now implemented
with NewEmbedder without duplicating code. The test was moved one
dir down and works with the new setup.
This is a model that can be used to similarly refactor the other
embeddings/* subdirs.
This is a large PR because it also updates example go.mods
For #379
Travis Cline