As per (https://github.com/langchain-ai/langchain/pull/16395), OpenAI functions don't accept tool names with space. Therefore, I added an exception handling snippet to raise an issue if a custom tool name has a space.
* WIP. Procedure appears to be working well. Working on mocking properly for tests
* All tests are passing now
* rshift working
* Add back in Gui's tool_usage fix
* WIP
* Going to start refactoring for pipeline_output
* Update terminology
* new pipeline flow with traces and usage metrics working. need to add more tests and make sure PipelineOutput behaves likew CrewOutput
* Fix pipelineoutput to look more like crewoutput and taskoutput
* Implemented additional tests for pipeline. One test is failing. Need team support
* Update docs for pipeline
* Update pipeline to properly process input and ouput dictionary
* Update Pipeline docs
* Add back in commentary at top of pipeline file
* Starting to work on router
* Drop router for now. will add in separately
* In the middle of fixing router. A ton of circular dependencies. Moving over to a new design.
* WIP.
* Fix circular dependencies and updated PipelineRouter
* Add in Eduardo feedback. Still need to add in more commentary describing the design decisions for pipeline
* Add developer notes to explain what is going on in pipelines.
* Add doc strings
* Fix missing rag datatype
* WIP. Converting usage metrics from a dict to an object
* Fix tests that were checking usage metrics
* Drop todo
* Fix 1 type error in pipeline
* Update pipeline to use UsageMetric
* Add missing doc string
* WIP.
* Change names
* Rename variables based on joaos feedback
* Fix critical circular dependency issues. Now needing to fix trace issue.
* Tests working now!
* Add more tests which showed underlying issue with traces
* Fix tests
* Remove overly complicated test
* Add router example to docs
* Clean up end of docs
* Clean up docs
* Working on creating Crew templates and pipeline templates
* WIP.
* WIP
* Fix poetry install from templates
* WIP
* Restructure
* changes for lorenze
* more todos
* WIP: create pipelines cli working
* wrapped up router
* ignore mypy src on templates
* ignored signature of copy
* fix all verbose
* rm print statements
* brought back correct folders
* fixes missing folders and then rm print statements
* fixed tests
* fixed broken test
* fixed type checker
* fixed type ignore
* ignore types for templates
* needed
* revert
* exclude only required
* rm type errors on templates
* rm excluding type checks for template files on github action
* fixed missing quotes
---------
Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>
* patching for non-gpt model
* removal of json_object tool name assignment
* fixed issue for smaller models due to instructions prompt
* fixing for ollama llama3 models
* WIP: generated summary from documents split, could also create memgpt approach
* WIP: need tests but user inputted summarization strategy implemented - handling context window exceeding errors
* rm extra line
* removed type ignores
* added tests
* handling n to summarize prompt
* code cleanup, using click for cli asker
* rm not used class
* better refactor
* reverted poetry lock
* reverted poetry.locl
* improved context window exceeding exception class
* feat: Add execution time to both task and testing feature
* feat: Remove unused functions
* feat: change test_crew to evalaute_crew to avoid issues with testing libs
* feat: fix tests
I think there is some mistake, because there is no such parameter as force_output_result, and as the code shows, the correct parameter result_as_answer is set during agent creation, not task.
* Performed spell check across the entire documentation
Thank you once again!
* Performed spell check across the most of code base
Folders been checked:
- agents
- cli
- memory
- project
- tasks
- telemetry
- tools
- translations
* Trying to add a max_token for the agents, so they limited by number of tokens.
* Performed spell check across the rest of code base, and enahnced the yaml paraser code a little
* Small change in the main agent doc
* Improve _save_file method to handle both dict and str inputs
- Add check for dict type input
- Use json.dump for dict serialization
- Convert non-dict inputs to string
- Remove type ignore comments
---------
Co-authored-by: João Moura <joaomdmoura@gmail.com>
