mirror of
https://github.com/katanemo/plano.git
synced 2026-04-26 01:06:25 +02:00
fb0581fd39
* pushing draft PR * transformations are working. Now need to add some tests next * updated tests and added necessary response transformations for Anthropics' message response object * fixed bugs for integration tests * fixed doc tests * fixed serialization issues with enums on response * adding some debug logs to help * fixed issues with non-streaming responses * updated the stream_context to update response bytes * the serialized bytes length must be set in the response side * fixed the debug statement that was causing the integration tests for wasm to fail * fixing json parsing errors * intentionally removing the headers * making sure that we convert the raw bytes to the correct provider type upstream * fixing non-streaming responses to tranform correctly * /v1/messages works with transformations to and from /v1/chat/completions * updating the CLI and demos to support anthropic vs. claude * adding the anthropic key to the preference based routing tests * fixed test cases and added more structured logs * fixed integration tests and cleaned up logs * added python client tests for anthropic and openai * cleaned up logs and fixed issue with connectivity for llm gateway in weather forecast demo * fixing the tests. python dependency order was broken * updated the openAI client to fix demos * removed the raw response debug statement * fixed the dup cloning issue and cleaned up the ProviderRequestType enum and traits * fixing logs * moved away from string literals to consts * fixed streaming from Anthropic Client to OpenAI * removed debug statement that would likely trip up integration tests * fixed integration tests for llm_gateway * cleaned up test cases and removed unnecessary crates * fixing comments from PR * fixed bug whereby we were sending an OpenAIChatCompletions request object to llm_gateway even though the request may have been AnthropicMessages --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-4.local> Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-9.local> Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-10.local> Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-41.local> Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-136.local>
75 lines
1.8 KiB
Bash
75 lines
1.8 KiB
Bash
#/bin/bash
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# if any of the commands fail, the script will exit
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set -e
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. ./common_scripts.sh
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print_disk_usage
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mkdir -p ~/archgw_logs
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touch ~/archgw_logs/modelserver.log
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print_debug() {
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log "Received signal to stop"
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log "Printing debug logs for model_server"
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log "===================================="
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tail -n 100 ~/archgw_logs/modelserver.log
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log "Printing debug logs for docker"
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log "===================================="
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tail -n 100 ../build.log
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archgw logs --debug | tail -n 100
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}
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trap 'print_debug' INT TERM ERR
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log starting > ../build.log
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log building and running function_calling demo
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log ===========================================
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cd ../../demos/samples_python/weather_forecast/
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docker compose up weather_forecast_service --build -d
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cd -
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log building and install model server
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log =================================
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cd ../../model_server
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poetry install
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cd -
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log building and installing archgw cli
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log ==================================
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cd ../../arch/tools
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poetry install
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cd -
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log building docker image for arch gateway
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log ======================================
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cd ../../
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archgw build
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cd -
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# Once we build archgw we have to install the dependencies again to a new virtual environment.
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poetry install
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log startup arch gateway with function calling demo
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cd ../../
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tail -F ~/archgw_logs/modelserver.log &
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model_server_tail_pid=$!
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archgw down
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archgw up demos/samples_python/weather_forecast/arch_config.yaml
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kill $model_server_tail_pid
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cd -
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log running e2e tests
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log =================
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poetry run pytest
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log shutting down the arch gateway service
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log ======================================
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archgw down
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log shutting down the weather_forecast demo
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log =======================================
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cd ../../demos/samples_python/weather_forecast
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docker compose down
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cd -
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